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Opening video


IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012



sGE01


To Infinity and Beyond 2012
Big Data Internet Scale Update
John Sing




                                    Opening video: http://www.youtube.com/watch?v=CxQHwmhJXX4    © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

Evaluations are Online! IBMTECHU.COM/NZ


                                                                                   sGE01




3
3                                                                                          © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

                               31 years of experience with IBM in high end servers, storage, and
John Sing                       software
                                  – 2009 - Present: IBM Executive Strategy Consultant: IT Strategy and Planning,
                                    Enterprise Large Scale Storage, Internet Scale Workloads and Data Center Design,
                                    Big Data Analytics, HA/DR/BC

                                  – 2002-2008: IBM IT Data Center Strategy, Large Scale Systems, Business
                                    Continuity, HA/DR/BC, IBM Storage

                                  – 1998-2001: IBM Storage Subsystems Group - Enterprise Storage Server Marketing
                                    Manager, Planner for ESS Copy Services (FlashCopy, PPRC, XRC, Metro Mirror,
                                    Global Mirror)
                                  – 1994-1998: IBM Hong Kong, IBM China Marketing Specialist for High-End Storage
                                  – 1989-1994: IBM USA Systems Center Specialist for High-End S/390 processors
                                  – 1982-1989: IBM USA Marketing Specialist for S/370, S/390 customers (including
                                    VSE and VSE/ESA)


                               singj@us.ibm.com


                               IBM colleagues may access my intranet webpage:
                                  – http://snjgsa.ibm.com/~singj/

                               You may follow my daily IT research blog
                                  – http://www.delicious.com/atsf_arizona

                               You may follow me on Slideshare.net:
                                  – http://www.slideshare.net/johnsing1

                               My LinkedIn:
                                  – http://www.linkedin.com/in/johnsing

5                                                                                                     © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


Agenda                                                                                          Inter-
                                                                                             Disciplinary

    1.       Exploiting the opportunity: Data, Data, Data!
             Real-time Data Factories
             Bandwidth created “The Cloud”




                                                                                                    Inter-disciplinary
             Internet Scale Data Center architectures house internet
              scale data


    2.       Disruptive Innovation in Today’s IT World
             The Non-Traditional Competitor
             The mobile Web 3.0


    3.       Principles, collaboration for a successful IT Future


7                                                                                          © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012




Part 1: Exploiting the Opportunity:                            Data! Data! Data!



     1.     Exploiting the Opportunity:                 Data, Data, Data!
           Real-time Data Factories
           Bandwidth created “The Cloud”
           Internet Scale Data Center Architectures house internet scale data




8                                                                                          © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


The nature of workloads is rapidly shifting….
     Rapid unstructured data growth




                                                                                    Unstructured
                                                                                   data workloads




                                                                  =

                                                                                                         Traditional
                                                                                                           OLTP,
                                                                                                          database




9                                                                                                   © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

 Humans collecting useful data on massive scale




10                                                                                                                                                                               © 2012 IBM Corporation
          Chart in public domain: IEEE Massive File Storage presentation, author: Bill Kramer, NCSA: http://storageconference.org/2010/Presentations/MSST/1.Kramer.pdf
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

Unmanned Aerial Surveillance (UAS)




        http://www.hawkeyeuav.com/ , http://www.gatewing.com/ , http://www.sensefly.com/
        http://www.aeryon.com/products.html http://www.leptron.com/corporate/products/
11                                                                                                 © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

Light Detection and Ranging (LiDAR)
                                                                                                                                                                                         http://www.profsurv.com/magazine/article.aspx?i=70599




                                                                                                http://www.gim-international.com/issues/articles/id1306-Mapping_with_Mobile_Lidar.html


http://www.southernmapping.com/methodology.php




  http://www.lidarnews.com/PDF/LiDARMagazine_Amadori-UtilityVegetationManagement_Vol2No5.pdf




12                                                                                                                                                                                                                         © 2012 IBM Corporation
                    http://www.sparpointgroup.com/News/Vol09No37-New-feature-extraction-tool-for-lidar/
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

We are building real-time, integrated stream computing on massive scale

                                                                                                                                                                                          Inter-
                                                                                                                                                                                       Disciplinary




                                                                                                                                                                  n                      d




13                                                                                                                                                                               © 2012 IBM Corporation
          Chart in public domain: IEEE Massive File Storage presentation, author: Bill Kramer, NCSA: http://storageconference.org/2010/Presentations/MSST/1.Kramer.pdf
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


        IBM Predictive Analytics: Movement in a City




•10 minute-ahead volume forecast (blue) vs. actual               •10 minute-ahead speed forecast (blue) vs. actual
                  value (black)                                                   value (black).


   Blue line: IBM analytics prediction 10 minutes in advance
                    Black line: actual result
14                                                                                                    © 2012 IBM Corporation
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IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

IBM Predictive Analytics Ensuring Public Safety:                                              Let’s play video 1st




              Memphis Blue CRUSH Map
              Memphis Blue CRUSH Map

                                      http://www.youtube.com/watch?v=_ZyU6po_E74
    Blue CRUSH predictive analysis for officer deployment & risk management generated easy-to-read crime maps every
     four hours
    Richmond, VA: Violent crime decreased in the first year by 32%, another 40% thereafter,
     moving Richmond from #5 on the list of the most dangerous US cities to #99

15                                                                                                       © 2012 IBM Corporation
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IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

A new class of data-rich industries is emerging

 New business models: company’s value based on amount of information stored, exploited


     Today’s Hyperscale
                                                     Tomorrow’s Hyperscale Data Companies
      Data Companies


                                        Industries                                   Examples

                                    Aerospace
                                                                                   3.5 PB in 2010
                                    Banking                         Healthcare     1 TB CT scanner → 2.5 PB/Year/Scanner
                                    Energy                           Provider
                                    Government
                                    Healthcare                        Claims       20 PB in 2011
                                                                                   Grow 300 TB per month, every month
                                    Insurance                       Processor
                                    Manufacturing
                                    Media and
                                    Entertainment
                                    Retail




16                                                                                                         © 2012 IBM Corporation
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IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

         McKinsey Global Report on Big Data – May 2011




                                                                                              Number of Big Data
                                                                                              scientists and mgrs
                                                                                                 needed in USA




                               http://www.mckinsey.com/mgi/publications/big_data/index.asp


17                                                                                                   © 2012 IBM Corporation
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IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


   Will Big Data Change the Way We Compete?                                                                                             Already Has!
                                                                     Healthcare



 Ease of                                                                                                                                           Finance
 capture



                                                                                                                                                 Information




                                                                                                                                                          Value




18
                    http://www.mckinsey.com/Insights/MGI/Research/Technology_and_Innovation/Big_data_The_next_frontier_for_innovation            © 2012 IBM Corporation
sGE01
  IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


  The Big Data opportunity is huge

                                                                                                     2015: # networked devices 2x
                                 9000                                                                      global population
                                 8000 100
Global Data Volume in Exabytes




                                 7000   90
                                                                        Total # social media accounts >
                                             Aggregate Uncertainty %




                                        80
                                 6000
                                        70
                                                                               global population.




                                                                                                                                                 s)
                                 5000




                                                                                                                                         of r s
                                                                                                                                             in g
                                                                                                                                    rn nso
                                        60




                                                                                                                                           Th
                                                                                                                                         e
                                 4000




                                                                                                                                S
                                        50




                                                                                                                                      et
                                                                                                                                 te
                                                                                                                                (In
                                 3000   40
                                                                                                                                          ia )
                                                                                                                                      M ed d text
                                 2000
                                        30                                                                                         i a l an
                                                                                                                             S ,oc audio
                                        20                                                                                      eo           P
                                 1000                                                                                      (vid          VoI
                                        10
                                    0                                                                                      Enterprise Data
                                                                       Multiple sources: IDC,Cisco
                                        2005                                                              2010                                2015


  19                                                                                                                                                  © 2012 IBM Corporation
sGE01            Inter-
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012
                                                                                                       Disciplinary
Worldwide, Broadband Internet Speeds are Zooming




                 http://gigaom.com/broadband/worldwide-broadband-demand-speeds-are-zooming/



20                                                                                               © 2012 IBM Corporation
State Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012
IBM STG
        of worldwide Internet:                                                     sGE01
average Internet user connection speed




                                                                End user average
                                                                connection speed


http://www.akamai.com/stateoftheinternet/



                                                          End user average
                                                          connection speed



21                                                                                         © 2012 IBM Corporation
sGE01
    IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012



     Growth of
     The Cloud
     by 2016

     Mobile


     Geo-locational


     Real-time data


     Shift to cloud
      mega-data centers
Source:




                  http://www.datacenterknowledge.com/archives/2012/10/23/cisco-releases-2nd-annual-global-cloud-index/
    22                                                                                                                    © 2012 IBM Corporation
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IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


           How Big is the World? - 1




                                                                                                                    Cheaper
                                   Network                                                                          7.1x
                                   Storage                                                                          5.7x
                                   Admins                                                                           7.3x

                                                                                                               This is significant




23                           http://wikibon.org/blog/how-big-is-the-world-of-cloud-computing-infographic/           © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

Bandwidth Availability created “The Cloud”…………


                                          Worldwide bandwidth




                                          Pervasive web services delivery model
                                              –(i.e. “The Cloud”)



                                          Data centers with massive amounts:
                                              –Processors
                                              –Storage
                                              –Network


24                                                                                         © 2012 IBM Corporation
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IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


   Bandwidth and the Cloud…..                                   Internet-scale centers…..


                                                                Data:
                                                                    –10s / 100s petabytes


                                                                Servers:
                                                                    –100,000s ….


                                                                Workloads:
                                                                    –Require server clusters
                                                                     of 100s, 1000s, 10,000,
                                                                     more …..


25                                                                                         © 2012 IBM Corporation
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IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012




26                      http://wikibon.org/blog/wp-content/uploads/2011/10/5-top-data-centers.html           © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

Large Data Centers in past 2 years




               10. SUPERNAP, LAS VEGAS, 407,000 SF




                           9A and 9B. MICROSOFT QUINCY AND SAN ANTONIO DATA CENTERS, 470,000 S


27                                                                                                                                                                       © 2012 IBM Corporation
                       http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-supernap-microsoft-dft/#supernap
                       http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-supernap-microsoft-dft/#quincy
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

Container Data Center Architecture                                                                                                                   7. PHOENIX ONE, PHOENIX, ARIZ. 538,000 SF




                                                                                                           Microsoft’s Chicago
                                                                                                           Container Data Center




   5. MICROSOFT CHICAGO DATA CENTER, Chicago 700,000 SF

                                                                                                                                              2. QTS METRO DATA CENTER, ATLANTA, 990,000 SF
     http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-io-data-centers-microsoft/#phoenixone



28
     http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-io-data-centers-microsoft/#chicago
     http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-ngd-terremark-qts/#qts                                                         © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


   More data centers….
        3. NAP OF THE AMERICAS,
        MIAMI, 750,000 SF




                                                                                     4. NEXT GENERATION DATA EU




                                                                                    1. 350 EAST CERMAK, CHICAGO,




29                                                                                           © 2012 IBM Corporation
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IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


    2012: Other large world data centers


                                                                                                                        Tulip Telecom, India, Bangalore




Amadeus, Erding, Germany




                                                                                                                                China to build 6.2 M sq feet data center by 2016
                                                                                     Utah Data Center, US Govt, 1M sq feet

30    http://www.datacenterknowledge.com/archives/2012/02/08/tulip-ibm-team-on-huge-data-center-in-india/
      http://www.youtube.com/watch?v=-h5RYflgBcM
                                                                                                                                                               © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012




                                                   That’s Big!

           Now….. what about the web giants?




                    i.e. Apple, Facebook, Google, Amazon, etc?




                                http://www.fastcompany.com/magazine/160/tech-wars-2012-amazon-apple-google-facebook

31                                                                                                                            © 2012 IBM Corporation
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IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

   Apple
                     Here’s what powers iCloud, see Jobs at WWDC 2011 iCloud announce (YouTube)


                                                                                                                                            iCloud




     Apple                                                                                                                                  Apple Data Center Newark, California
  Data Center
      FAQ




                                            Rendering of Apple's new North Carolina Data Center. Credit: Apple


                                                        Maiden,                                                               Under construction: Prineville, Oregon
                                                        North Carolina
                                                        500K sq ft                                http://gigaom.com/cloud/apple-launches-icloud-heres-what-powers-it/
                                                                                                  http://www.theregister.co.uk/2012/02/21/apple_new_data_center/
                                                                                                                                                                      http://www.youtube.com/watch?v=IPNZAvX1yEs


                                                        USD $1Billion                             http://www.datacenterknowledge.com/archives/2011/05/18/apple-adding-data-center-in-silicon-valley/




32                                                                                                                                                                          © 2012 IBM Corporation
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IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

   Facebook




                                                                                                                              Lulea, Sweden - 290K sq ft (27K sq me




33
                     http://www.datacenterknowledge.com/archives/2012/04/20/facebooks-north-carolina-data-center-goes-live/
                     http://www.wired.com/wiredenterprise/2011/12/facebook-data-center/all/1                                               © 2012 IBM Corporation
                     https://www.facebook.com/note.php?note_id=469716398919
sGE01
 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


 Amazon Web Services
                                                                                                                                          905 billion
                                                                                                                                           objects
                                                    450,000                                                                             650K
                                                    servers                                                                            req/sec




                                                                         EC2 17K core, 240 teraflop cluster 42
                                                                         nd fastest supercomputer in world




Amazon Web Services 1Q12: 450,000 servers




  Amazon Perdix Modular Datacenter



 34
                                     http://aws.typepad.com/aws/2012/04/amazon-s3-905-billion-objects-and-650000-requestssecond.html
                                     http://gigaom.com/cloud/how-big-is-amazon-web-services-bigger-than-a-billion/                                       © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


  What is Google? Google is not a search engine                                                                       Inter-
                                                                                                                   Disciplinary


                          Google is a real-time “Data Factory” ecosystem

                        – Defacto organizer of all human internet data

                        – Worldwide Patterns of Life data

                        – Android ingest / output devices
                           • Motorola Wireless acquired $12B


                        – Supporting businesses and ecosystem roles:
                             • Google+, Play, Shop, Books, Gmail, Docs
                             • Voice recognition




     The history of search engine http://www.wordstream.com/articles/internet-search-engines-history


35                                                                                                             © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


   Google
   Data Centers

   in 2008:




36                                                                                         © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

Google Data Center Photo Gallery




                     http://www.google.com/about/datacenters/gallery/#/

37                                                                                         © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


Google Data Center CAPEX worldwide                                                                           Each data center
                                                                                                            between $200M and
                                                                                                                  $600M
  Capital expenditures on datacenters:
    – 1Q12: USD$ 607M
    – 2011: USD$ 3.4B
    – 2010: USD$ 4.0B
    – 2009: USD$ 809M




                                                  The Dalles, Oregon


38    http://www.datacenterknowledge.com/archives/2012/04/13/google-data-center-spending-recedes-to-607m/
                                                                                                                     © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

   Traditional IT                       vs.           Internet Scale Workload Data Center




     Source: Egan Ford, IBM Distinguished Engineer, Budapest xCL01 OpenStack presentation: http://xmission.com/~egan/cloud/
     Source: http://it20.info/2012/02/the-cloud-magic-rectangle-tm/
39                                                                                                                          © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

Part 2: Disruptive Innovation




2. Disruptive Innovation in Today’s IT World
       The Non-Traditional Competitor
       Big Data, mobile Web 3.0




40                                                                                         © 2012 IBM Corporation
sGE01
                     IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


                           With all this opportunity……. Why is this Disruptive Change
                           flat-lining traditional consumer PC / desktop manufacturers?

                                                                                                         PC / laptop stalwarts


                                                                                                         Unsuccessful in shift


                                                                                                         To mobile



                                                                                                                   Cloud / mobile
                                                                                                                   market value
                                                                                                                *bigger increases*
not azl ai pa Ct ekr a M




                                                                                                           PC/laptop
                                                                                                          market value
                                                                                                         big decreases
 i i t




                              http://gigaom.com/2012/09/01/hp-dell-and-the-paradox-of-the-disrupted/

                     41                                                                                               © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

                                                                                                                      Inter-
Observe: how fast mobile internet grows by 2014                                                                    Disciplinary




 By 2014:




 Mobile will be
  main way




 Of connecting to
  Internet




42         http://www.digitalbuzzblog.com/2011-mobile-statistics-stats-facts-marketing-infographic
                                                                                                             © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

   Disruptive Innovation
                                                                          Clayton Christensen
                                                                        Harvard Business School

  Definition:


   Create new
    market and value


   Eventually
    disrupts existing


   Displaces earlier
    technology


                                                      http://en.wikipedia.org/wiki/Disruptive_innovation
43                                                                                                                 © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

   Disruptive Innovation
                                                                          Clayton Christensen
                                                                        Harvard Business School


  Not “advanced
   technologies”


  Inferior yet “good
   enough”


  Novel combinations


  Starts low end


  Grows up-market
     – “low end
       disruption”
                                                      http://en.wikipedia.org/wiki/Disruptive_innovation
44                                                                                                                 © 2012 IBM Corporation
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IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


 Disruptive Innovation




   Learn lessons




   Watch today’s
    world




                                                                            Illustrative examples only

45                                                                                                        © 2012 IBM Corporation
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IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


Disruptive Innovation
                                                                          Clayton Christensen
                                                                        Harvard Business School



 “Consumerization”


 Not just technology




 Delivery models
  (cloud)
 Business models
 Ecosystems


                                                      http://en.wikipedia.org/wiki/Disruptive_innovation
46                                                                                                                 © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

Mobile will affect all business models…

                    Mobile =

     Geo-locational superfood

          Real-time analytics




        http://www.digitalbuzzblog.com/2011-mobile-statistics-stats-facts-marketing-infographic
47                                                                                                        © 2012 IBM Corporation
sGE01
 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

 Cloud-scale Data Centers required for:
                      Data Supertransformagicability




TaxiWiz



                                                                    HousingMaps

Weatherbug




          Source: http://mashable.com/2007/07/11/google-maps-mashups-2/
 48                                                                                         © 2012 IBM Corporation
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IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


By 2016, how much mobile data? What kind?
                                                                                               2012:
                                                                                                     – Mobile-connected
                                                                                                       devices > # people




                                                      Smartphones
                                                         48%



  2016:
     –10 billion mobile devices
     –(world population: 7.3 B)                                                                                                  Web data,
                                                                                                                                  video
                                                                                                                                   70%
                                              http://www.cisco.com/en/US/solutions/collateral/ns341/ns525/ns537/ns705/ns827/white_paper_c11-520862.html


49                                                                                                                               © 2012 IBM Corporation
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IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


Will Big Data, Internet Cloud data centers, mobile-centric
business models affect the way we compete? Implement IT?




                                                Yes, it will!


                                                 Let’s see one more video

                                     http://www.youtube.com/watch?v=EdSd32nbtoA
50                                                                                         © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


   Disruptive Innovation
                                                                      Clayton Christensen
                                                                    Harvard Business School

                                                                           Inter-
 Big Data / Cloud on                                                   Disciplinary
  disruptive path


 Traditional IT still
  around but….


 Newer technologies
  disrupt all platforms




  What will the effect be on
   your business model?

51                                                                                             © 2012 IBM Corporation
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IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


   It’s NOT your Traditional competitors you need worry about
                                                              2011: 24 million
                                                             Netflix customers


  Blockbuster
  2002:

  “Online video not
  viable”

  “Niche market”




                                                                                         2010:
                                                                                   Blockbuster files
                                                                                    for bankruptcy

            http://hbswk.hbs.edu/item/7007.html

52                                                                                           © 2012 IBM Corporation
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IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

   It’s NOT your Traditional competitors you need worry about




                                                                                                        Illustrative examples only




          http://www.tatango.com/blog/time-spent-on-mobile-devices-outpaces-newspapers-and-magazines/

53                                                                                                                           © 2012 IBM Corporation
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IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012



Today, customers have many non-traditional alternatives
                                                          Non-traditional alternatives:
  Traditional alternatives:
                                                             – The Cloud, the Developing World

   Other platforms


   Other vendors




  What will the effect be on
   your business model?



54                                                                                          © 2012 IBM Corporation
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IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012
                                                                             Compute power =
Internet-scale application stack summary                                     visualization layer

                                                                                                    Data, I/O =
                                                               Users                               analytic layer
         Location of
        competitive                                      User Interface Layer
         advantage                              Reports, Dashboards, Mashups, Search,
   applications. Does all                          Ad hoc reporting, Spreadsheets
     workload balance,




                                                                                                               authorization
        redundancy




                                                                                                                 Security
                                                         Analytic Process Layer
                                         Real-time computing and analysis, stream computing,
 Unstructured data is the                 entity analytics, data mining, data proximity, content
    growth workload                                 management, text analytics, etc.


                                                           Infrastructure layer
                                         Virtualization, central end to end management, control,
                                             deployment on software, server, storage in a
                                                 geographically dispersed environment



                                                                                            Cloud
           OS software                           Servers, storage
                                                                                        infrastructure


55                                                                                                   © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

You want a partner like IBM that                                                   IBM SWG,
                                                                                    Services
covers the entire modern inter-discipline
                                                                                                   IBM SWG,
IT stack                             Users                                                          Services

   IBM Software Group
                                                         User Interface Layer
                                                Reports, Dashboards, Mashups, Search,
        Big Insights
                                                   Ad hoc reporting, Spreadsheets
        InfoStreams




                                                                                                              authorization
                                                                                                                Security
                                                         Analytic Process Layer
                                         Real-time computing and analysis, stream computing,
       IBM Analytics                      entity analytics, data mining, data proximity, content
                                                    management, text analytics, etc.


                                                           Infrastructure layer
                                         Virtualization, central end to end management, control,
                                             deployment on software, server, storage in a
                                                 geographically dispersed environment



                                                                                           IBM Cloud
       STG Virtualization                      STG Servers, Storage
                                                                                         infrastructure


56                                                                                                  © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012




            Part 3: Principles for a successful IT
                             Future


                                                   Plans

                      Meld / meet / build readiness

                                  Use, exploit, thrive



57                                                                                         © 2012 IBM Corporation
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IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


Big Positioning picture




                                                                       e gar o s, r evr es/ $
  BP, BT, B G : d qer e gar o S
                             t




                                                                              t
                ’




                                  Traditional     Data         Big                              Traditional     Data          Big
                                      IT        Warehouse     Data,                                 IT        Warehouse      Data,
                                                            Internet                                                       Internet
                                                             scale                                                          scale


58                                                                                                                         © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

Big Positioning picture                                                                                 Current IT
                                                                                                       architectures

                                                                                                                                Growth areas

                                        Current                                                                                 Mobile, Cloud
                                           IT
                                     architectures




                                                                            e ga o t s. r evr es/ $
                                                            Growth areas
  BP, BT, B G : d qer e gar o S
                             t




                                                            Mobile, Cloud         r
                ’




                                  Traditional     Data             Big                                Traditional     Data              Big
                                      IT        Warehouse         Data                                    IT        Warehouse          Data
                                                                Internet                                                             Internet
                                                                  scale                                                                scale




59                                                                                                                                © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

                                                                                                          Current IT
 Build new, different skill sets                                                                         architectures

                                                                                                                                     Traditional IT
                                                                                                                                      workload

                                    Current IT
                                   architectures




                                                                                e gar o s, r evr es/ $
                                                               Highly parallelized internet
                                                                   scale architecture
  BP, BT, B G : d qer e gar o S
                             t




                                                                Integrated E2E softwaret
                                                                         centric
                ’




                                  Traditional        Data            Big                                 Traditional       Data               Big
                                      IT           Warehouse        Data                                     IT          Warehouse           Data
                                                                  Internet                                                                 Internet
                                                                    scale                                                                    scale




60                                                                                                                                      © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

                                                                                                                                    Current IT
Key strategy                                                                                                                       architectures               Traditional IT
                                                                                                                                                               architectures

          Continue modernize
           current traditional IT …
                                                                                                                                                                 Architect
                                                                                                                                                                  new-gen
                                                                                                                                                                connectors,
          Architect future                                                                                                                                        skills
           expandability




                                                                                                         e gar o s, r evr es/ $
          Connect with
                                                                                               Internet scale architectures
           – New generation
             mobile-enabled
                                                                                                                t

             workloads
                                                                                                                                  Traditional        Data            Big
                                                                                                                                      IT           Warehouse         Data
                                                                                                                                                                   Internet
                                                                                                                                                                    scale
         http://www.slideshare.net/johnsing1/s-bd03-infinitybeyond2internetscaleworkloadsdatacenterdesignv6speaker



61                                                                                                                                                                © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

To successfully co-exist / thrive with new generation workloads
                                                                                                            Views new gen
      Understand Big Data / new gen                                                                          as powerful
       workload environment                                                                                     partner                                          Traditional IT
                                                                                                                                                                 architectures




      Successfully innovate new
       capabilities


      Expand your understanding




                                                                                                                         r evr es/ $
                                                                                                                                                                      Views
                                                                                                                   Internet scale architectures
                                                                                                                                                                  traditional IT
                                                                                                                                                                   as powerful
      Be the change you want your                                                                                                                                   enabler
       company to be
                                                                                                                                       Traditional     Data              Big
                                                                                                                                           IT        Warehouse          Data
                                                                                                                                                                      Internet
                                                                                                                                                                        scale



       http://www.slideshare.net/johnsing1/s-bd03-infinitybeyond2internetscaleworkloadsdatacenterdesignv6speaker



62                                                                                                                                                                © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

Apply lessons from today to Traditional IT as best possible




     Source: Egan Ford, IBM Distinguished Engineer, OpenStack presentation: http://xmission.com/~egan/cloud/
     Source: http://it20.info/2012/02/the-cloud-magic-rectangle-tm/
63                                                                                                                     © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

                                                                                                    Inter-
How to get ahead and thrive in this new world?                                                   Disciplinary

 2012: devote 1st hour of day to keeping
  current
     – No longer optional



 Establish power-knowledge digital footprint,
  intelligently sharing what you find
     – Don’t email what you find (too much email
       already)
     – Use social networking, social
       bookmarking, blogs, etc

 Become a power user of your smartphone’s
  ecosystem



64                                                                                         © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


                                My external sources, daily IT research:
Feel free                         – http://delicious.com/atsf_arizona
to use
me as a
resource

John Sing’s
bookmarks



                                   – http://www.linkedin.com/in/johnsing
                                   – http://www.slideshare.net/johnsing1


                                IBM colleagues may also see my IBM Intranet webpage:
                                   – http://snjgsa.ibm.com/~singj/
                                   – http://snjgsa.ibm.com/~singj/public/sonas_index.html


                                singj@us.ibm.com




65                                                                                                  © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


Learning Points                                                                                   Inter-
                                                                                               Disciplinary
   1.       Exploitation of the opportunity: Data, Data, Data!
             Is being done in real-time Data Factories on internet scale today
             Bandwidth will continue to create “The Cloud”
             Understand and study how Internet Scale Data Center architectures house
              internet scale data




                                                                                                     Inter-disciplinary
   2.       Hyper-pace of Disruptive Innovation in Today’s IT World
             Beware the Non-Traditional Competitor
             The Mobile Web 3.0 is already impacting all business models



   3.       Invest your 1st hour of every day in being a part of the future
             Be the change you want your company to be




66                                                                                         © 2012 IBM Corporation
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IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


                                                                                                                                    Inter-
   Inter-disciplinary                                                               Current IT
                                                                                                     Traditional IT
                                                                                                                                 Disciplinary

  Disruptive Innovation:                                                                                  New gen
                                                                                                          workloads



Greatest opportunity to thrive




                                                                     r evr es/ $
      we have yet seen                                           Internet scale
                                                                   workloads




                                                                                                                                      disciplinary
                                                                                                                                      Inter-
                                                                                   Traditional Data             Big
                                                                                       IT    Warehouse          Data
                                                                                                              Internet
    Identify inter-disciplinary new                                                                            scale

generation big data workloads, business
                models                                           Big Data
                                                                                                         Exascale datacenters
                                                              Applications

                                                                   Cloud                            Massive parallelism
  Know non-traditional competitors well                         Business
                                                                  Models                            E2E automation         Mobile


Develop / implement to meld, meet, use,
    exploit, thrive with new reality




67                                                                                                                       © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


Together, let’s build a Smarter Planet




68                                                                                         © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

Recommend you download, read,
this very informative IBM book

   “Understanding Big Data”
      – Published April 2012
      – Free download
      – Well worth reading to understand components
        of Big Data, and how to exploit

   Part 1: The Big Deal about Big Data
      – Chapter 1 – What is Big Data? Hint: You’re a
         Part of it Every Day
      – Chapter 2 – Why Big Data is Important
      – Chapter 3 – Why IBM for Big Data


   Part II: Big Data: From the Technology
    Perspective
      – Chapter 4 - All About Hadoop: The Big Data
         Lingo Chapter
      – Chapter 5 – IBM InfoSphere Big Insights –
         Analytics for “At Rest” Big Data
      – Chapter 6 – IBM InfoSphere Streams –
         Analytics for “In Motion” Big Data




             Download your free copy here
                                                           http://public.dhe.ibm.com/common/ssi/ecm/en/iml14297usen/IML14297USEN.PDF



69                                                                                                                  © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012




                          Applying the lessons from

                  Internet-scale Cloud Computing



                    to the Traditional data center




70                                                                                         © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


Cloud Value Proposition and Positioning
                          Traditional IT




Source: http://it20.info/2012/02/the-cloud-magic-rectangle-tm/


71                                                                                         © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

How You (Provider) Build These Clouds




         Source: http://it20.info/2012/02/the-cloud-magic-rectangle-tm/


72                                                                                         © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

     What You (Consumer) Get with These Clouds:




Source: http://it20.info/2012/02/the-cloud-magic-rectangle-tm/




73                                                                                         © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

Policy-based Clouds and Design-for-fail Clouds are purpose
optimized Infrastructure Management solutions


              Policy-based Clouds                                        Design-for-fail Clouds


• Purpose optimized for longer-lived virtual                • Purpose optimized for shorter-term virtual
  machines managed by Server                                  machines managed via end-user or
  Administrator                                               automated process
• Centralizes enterprise server virtualization              • Decentralized control, embraces eventual
  administration tasks                                        consistency, focus on making “good
                                                              enough” decisions
• High degree of flexibility designed to
  accommodate virtualization all workloads                  • High degree of standardization
• Significant focus on managing availability                • Significant focus on ensuring availability of
  and QoS for long-lived workloads with level                 control plane
  of isolation
                                                            • Characteristics driven by software
• Characteristics derived from exploiting
                                                            • New applications
  enterprise class hardware
• Legacy applications
74                                                                                              © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012




                                       Internet-scale

               warehouse-level cloud data center




            What’s biggest cost-savings element?




75                                                                                         © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


Internet Scale data center power components…




76
           Image courtesy of DLB Associates: D. Dyer, “Current trends/challenges in datacenter thermal management—a facilities perspective,”presentation at ITHERM, San Diego, CA, June 1, 2006.   © 2012 IBM Corporation
                                              “The Data Center as a Computer: Introduction to Warehouse Scale Computing”, figure 4-1, p.40 Barroso, Holzle
                                                              http://www.morganclaypool.com/doi/pdf/10.2200/S00193ED1V01Y200905CAC006
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

                                                                                                                       Physical cooling,
 Breakdown of data center                                                                                             UPS dominates the
 energy overheads                                                                                                     electrical power cost




 UPS alone is
   18% of
 construction
    cost


                                                                                                                                            Chiller alone is
                                                                                                                                            33% of the cost




           Image courtesy of ASHRAE “The Data Center as a Computer: Introduction to Warehouse Scale Computing”, figure 5-2, p.49 Barroso, Holzle
                                     http://www.morganclaypool.com/doi/pdf/10.2200/S00193ED1V01Y200905CAC006
77                                                                                                                                                 © 2012 IBM Corporation
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IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012




                                construction cost of Internet Scale Data Center is
                                Power / Cooling                     ?    Reducing power
                                                                                           profile reduces
                                                                                       construction cost




 Facebook’s
 North Carolina Data Center Goes Live




       Facebook –
       Prinville
       , Oregon

       Has spent $1B on it’s data centers                                                        Facebook:
                                                                                                 Lulea, Sweden - 29
       Open Compute Project




78                                                                                         © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


Google claims its data centers use                                                                             Industry average
                                                                                                               PUE is about 1.8
50% less energy than competitors

  Power Usage Effectiveness
    – PUE=1.14 means power overhead is
      only 14%
    – Industry average is around 1.8




     http://venturebeat.com/2012/03/26/google-data-centers-use-less-energy/
     http://www.datacenterknowledge.com/archives/2011/05/10/uptime-institute-the-average-pue-is-1-8/

79                                                                                                               © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

Modular Data Center

 Value isn’t just time to delivery /
  flexibility


 It’s also Higher Power density =
    lower construction cost




                              http://www.youtube.com/watch?v=zRwPSFpLX8I

80                                                                                         © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

 That’s why you see such a big modern push on Container Data Centers:
                                                                      7. PHOENIX ONE, PHOENIX, ARIZ. 538,000 SF

                                              Microsoft’s Chicago
                                              Container Data Center




   5. MICROSOFT CHICAGO DATA CENTER, Chicago 700,000 SF

                                                             2. QTS METRO DATA CENTER, ATLANTA, 990,000 SF


81                                                                                                          © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


State of the Modular Data Center                                                        Mismatch between rapid workload churn vs.
                                                                                        10+ year data center lifespan = modular data
                                                                                        center characteristics strategic possibilities for
                                                                                                   new build data centers




                                                                                      Cyrus One 1 million sq ft “Massively Modular”
                                                                                        data center under construction in Phoenix,
                                                                                        Arizona


                                                                                      I/O Modular Data Center Assembly line




                 http://www.datacenterknowledge.com/archives/2012/02/06/the-state-of-the-modular-data-center/
              http://www.datacenterknowledge.com/archives/2012/05/17/cyrusone-going-massively-modular-in-phoenix/
        http://www.datacenterknowledge.com/archives/2012/01/30/inside-ios-modular-data-center-assembly-line/

82                                                                                                                          © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


IBM internet-scale modern application stack:

        User interface
                                                     Users

                                       User Interface Layer
                              Reports, Dashboards, Mashups, Search,
                                 Ad hoc reporting, Spreadsheets




                                                                                   authorization
                                                                                     Security
                                       Analytic Process Layer
                       Real-time computing and analysis, stream computing,
                        entity analytics, data mining, data proximity, content
                                  management, text analytics, etc.


                                         Infrastructure layer
                       Virtualization, central end to end management, control,
                           deployment on software, server, storage in a
                               geographically dispersed environment




83                                                                                                 © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

Analytics layer



                                                     Users

                                       User Interface Layer
                              Reports, Dashboards, Mashups, Search,
                                 Ad hoc reporting, Spreadsheets




                                                                                   authorization
      Analytics




                                                                                     Security
                                       Analytic Process Layer
                       Real-time computing and analysis, stream computing,
                        entity analytics, data mining, data proximity, content
                                  management, text analytics, etc.


                                         Infrastructure layer
                       Virtualization, central end to end management, control,
                           deployment on software, server, storage in a
                               geographically dispersed environment




84                                                                                                 © 2012 IBM Corporation
sGE01
                                                              IBM Analytics
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

IBM Analytics layer




                            Big Data Accelerators                                                                  Users

   Text       Statistics            Financial          Geospatial

      Image/Video          Mining               Times Series          Mathematical
                                                                                                    User Interface Layer
                                                                                           Reports, Dashboards, Mashups, Search,
                                Applications                                                  Ad hoc reporting, Spreadsheets




                                                                                                                                                       authorization
                       Big Data Enterprise Engines




                                                                                                                                                         Security
                                                                                                     Analytic Process Layer
                                                                                     Real-time computing and analysis, stream computing,
                                                                                      entity analytics, data mining, data proximity, content
          InfoSphere Streams                       InfoSphere BigInsights                       management, text analytics, etc.

                    Productivity Tools and Optimization
                                                                                                       Infrastructure layer
     Workload Management and                     Consumability and Management
           Optimization                                      Tools                   Virtualization, central end to end management, control,
                                                                                         deployment on software, server, storage in a
                                                                                            geographically dispersed environment
                     Open Source Foundation Components




85                                                                                                                                        © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012


 IBM Big Data Reference Architecture
                                                             IBM Big Data              Client and Partner                                        Marketing
                                                               Solutions                   Solutions                                             IBM Unica


                                             Big Data Accelerators                                                                                Content
                                                                                                                                                  Analytics
                                                                                                                                                    ECM
                           Text        Statistics        Financial        Geospatial       Acoustic

                             Image/Video            Mining       Times Series          Mathematical                                             Business
                                                                                                                                                Analytics
                                                                                                                                              Cognos & SPSS
                           Connectors                  Applications               Blueprints
                                                                                                                                                 Warehouse




                                                                                                            InforSphere Information Server
                                                                                                                                                 Appliance
                                        Big Data Enterprise Engines                                                                             IBM Netezza

                                                                                                                                                Master Data
                                                                                                                                                Management
                                                                                                                                              InfoSphere MDM
                                  InfoSphere Streams                 InfoSphere BigInsights
                                                                                                                                              Data Warehouse
                                                                                                                                                InfoSphere
                                   Productivity Tools and Optimization                                                                          Warehouse
                           Workload Management                          Consumability and
                             and Optimization                           Management Tools                                                          Database
                                                                                                                                                    DB2
                                    Open Source Foundation Components
                                                                                                                                                Data Growth
                                                                                                                                                Management
                          Eclipse     Oozie         Hadoop     HBase        Pig   Lucene       Jaql
                                                                                                                                             InfoSphere Optim



 86
86                                                                                                                                           © 2012 IBM Corporation
sGE01
IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012

IBM’s Cloud Service Reference Architecture
                                                                    Cloud Service Provider


                                     Cloud Services                                             Common Cloud
                                                                                                Management Platform (CCMP)


                                                                  Business-Process-
                                                                    as-a-Service
                                      Partner Capabilities
                      Cloud
                     Service
                   Integration
                      Tools
                                                             Software-as-a-Service
                                                                                                  Operational      Business
                                                                                                                               Service
                                                                                                   Support         Support     Creation
                                                                                                   Services        Services     Tools
                                                                                                    (OSS)           (BSS)
                                                        Platform-as-a-Service

                    Consumer
                   In-house IT


                                                 Infrastructure-as-a-Service




                                                                               Infrastructure



                                                               Security, Resiliency & Performance
                                                                               Governance


                                 Getting Cloud Right -- IBM Reference Architecture Whitepaper
                                                    Open Group Document


87                                                                                                                                        © 2012 IBM Corporation
To_Infinity_and_Beyond_2012_Big_Data_Internet_Scale_Update_November_2012_v2_John_Sing
To_Infinity_and_Beyond_2012_Big_Data_Internet_Scale_Update_November_2012_v2_John_Sing
To_Infinity_and_Beyond_2012_Big_Data_Internet_Scale_Update_November_2012_v2_John_Sing

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To_Infinity_and_Beyond_2012_Big_Data_Internet_Scale_Update_November_2012_v2_John_Sing

  • 1. Opening video IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 sGE01 To Infinity and Beyond 2012 Big Data Internet Scale Update John Sing Opening video: http://www.youtube.com/watch?v=CxQHwmhJXX4 © 2012 IBM Corporation
  • 2. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Evaluations are Online! IBMTECHU.COM/NZ sGE01 3 3 © 2012 IBM Corporation
  • 3. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012  31 years of experience with IBM in high end servers, storage, and John Sing software – 2009 - Present: IBM Executive Strategy Consultant: IT Strategy and Planning, Enterprise Large Scale Storage, Internet Scale Workloads and Data Center Design, Big Data Analytics, HA/DR/BC – 2002-2008: IBM IT Data Center Strategy, Large Scale Systems, Business Continuity, HA/DR/BC, IBM Storage – 1998-2001: IBM Storage Subsystems Group - Enterprise Storage Server Marketing Manager, Planner for ESS Copy Services (FlashCopy, PPRC, XRC, Metro Mirror, Global Mirror) – 1994-1998: IBM Hong Kong, IBM China Marketing Specialist for High-End Storage – 1989-1994: IBM USA Systems Center Specialist for High-End S/390 processors – 1982-1989: IBM USA Marketing Specialist for S/370, S/390 customers (including VSE and VSE/ESA)  singj@us.ibm.com  IBM colleagues may access my intranet webpage: – http://snjgsa.ibm.com/~singj/  You may follow my daily IT research blog – http://www.delicious.com/atsf_arizona  You may follow me on Slideshare.net: – http://www.slideshare.net/johnsing1  My LinkedIn: – http://www.linkedin.com/in/johnsing 5 © 2012 IBM Corporation
  • 4. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Agenda Inter- Disciplinary 1. Exploiting the opportunity: Data, Data, Data!  Real-time Data Factories  Bandwidth created “The Cloud” Inter-disciplinary  Internet Scale Data Center architectures house internet scale data 2. Disruptive Innovation in Today’s IT World  The Non-Traditional Competitor  The mobile Web 3.0 3. Principles, collaboration for a successful IT Future 7 © 2012 IBM Corporation
  • 5. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Part 1: Exploiting the Opportunity: Data! Data! Data! 1. Exploiting the Opportunity: Data, Data, Data!  Real-time Data Factories  Bandwidth created “The Cloud”  Internet Scale Data Center Architectures house internet scale data 8 © 2012 IBM Corporation
  • 6. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 The nature of workloads is rapidly shifting…. Rapid unstructured data growth Unstructured data workloads = Traditional OLTP, database 9 © 2012 IBM Corporation
  • 7. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Humans collecting useful data on massive scale 10 © 2012 IBM Corporation Chart in public domain: IEEE Massive File Storage presentation, author: Bill Kramer, NCSA: http://storageconference.org/2010/Presentations/MSST/1.Kramer.pdf
  • 8. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Unmanned Aerial Surveillance (UAS) http://www.hawkeyeuav.com/ , http://www.gatewing.com/ , http://www.sensefly.com/ http://www.aeryon.com/products.html http://www.leptron.com/corporate/products/ 11 © 2012 IBM Corporation
  • 9. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Light Detection and Ranging (LiDAR) http://www.profsurv.com/magazine/article.aspx?i=70599 http://www.gim-international.com/issues/articles/id1306-Mapping_with_Mobile_Lidar.html http://www.southernmapping.com/methodology.php http://www.lidarnews.com/PDF/LiDARMagazine_Amadori-UtilityVegetationManagement_Vol2No5.pdf 12 © 2012 IBM Corporation http://www.sparpointgroup.com/News/Vol09No37-New-feature-extraction-tool-for-lidar/
  • 10. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 We are building real-time, integrated stream computing on massive scale Inter- Disciplinary n d 13 © 2012 IBM Corporation Chart in public domain: IEEE Massive File Storage presentation, author: Bill Kramer, NCSA: http://storageconference.org/2010/Presentations/MSST/1.Kramer.pdf
  • 11. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 IBM Predictive Analytics: Movement in a City •10 minute-ahead volume forecast (blue) vs. actual •10 minute-ahead speed forecast (blue) vs. actual value (black) value (black). Blue line: IBM analytics prediction 10 minutes in advance Black line: actual result 14 © 2012 IBM Corporation
  • 12. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 IBM Predictive Analytics Ensuring Public Safety: Let’s play video 1st Memphis Blue CRUSH Map Memphis Blue CRUSH Map http://www.youtube.com/watch?v=_ZyU6po_E74  Blue CRUSH predictive analysis for officer deployment & risk management generated easy-to-read crime maps every four hours  Richmond, VA: Violent crime decreased in the first year by 32%, another 40% thereafter, moving Richmond from #5 on the list of the most dangerous US cities to #99 15 © 2012 IBM Corporation
  • 13. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 A new class of data-rich industries is emerging New business models: company’s value based on amount of information stored, exploited Today’s Hyperscale Tomorrow’s Hyperscale Data Companies Data Companies Industries Examples Aerospace 3.5 PB in 2010 Banking Healthcare 1 TB CT scanner → 2.5 PB/Year/Scanner Energy Provider Government Healthcare Claims 20 PB in 2011 Grow 300 TB per month, every month Insurance Processor Manufacturing Media and Entertainment Retail 16 © 2012 IBM Corporation
  • 14. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 McKinsey Global Report on Big Data – May 2011 Number of Big Data scientists and mgrs needed in USA http://www.mckinsey.com/mgi/publications/big_data/index.asp 17 © 2012 IBM Corporation
  • 15. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Will Big Data Change the Way We Compete? Already Has! Healthcare Ease of Finance capture Information Value 18 http://www.mckinsey.com/Insights/MGI/Research/Technology_and_Innovation/Big_data_The_next_frontier_for_innovation © 2012 IBM Corporation
  • 16. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 The Big Data opportunity is huge 2015: # networked devices 2x 9000 global population 8000 100 Global Data Volume in Exabytes 7000 90 Total # social media accounts > Aggregate Uncertainty % 80 6000 70 global population. s) 5000 of r s in g rn nso 60 Th e 4000 S 50 et te (In 3000 40 ia ) M ed d text 2000 30 i a l an S ,oc audio 20 eo P 1000 (vid VoI 10 0 Enterprise Data Multiple sources: IDC,Cisco 2005 2010 2015 19 © 2012 IBM Corporation
  • 17. sGE01 Inter- IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Disciplinary Worldwide, Broadband Internet Speeds are Zooming http://gigaom.com/broadband/worldwide-broadband-demand-speeds-are-zooming/ 20 © 2012 IBM Corporation
  • 18. State Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 IBM STG of worldwide Internet: sGE01 average Internet user connection speed End user average connection speed http://www.akamai.com/stateoftheinternet/ End user average connection speed 21 © 2012 IBM Corporation
  • 19. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Growth of The Cloud by 2016  Mobile  Geo-locational  Real-time data  Shift to cloud mega-data centers Source: http://www.datacenterknowledge.com/archives/2012/10/23/cisco-releases-2nd-annual-global-cloud-index/ 22 © 2012 IBM Corporation
  • 20. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 How Big is the World? - 1 Cheaper Network 7.1x Storage 5.7x Admins 7.3x This is significant 23 http://wikibon.org/blog/how-big-is-the-world-of-cloud-computing-infographic/ © 2012 IBM Corporation
  • 21. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Bandwidth Availability created “The Cloud”…………  Worldwide bandwidth  Pervasive web services delivery model –(i.e. “The Cloud”)  Data centers with massive amounts: –Processors –Storage –Network 24 © 2012 IBM Corporation
  • 22. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Bandwidth and the Cloud…..  Internet-scale centers…..  Data: –10s / 100s petabytes  Servers: –100,000s ….  Workloads: –Require server clusters of 100s, 1000s, 10,000, more ….. 25 © 2012 IBM Corporation
  • 23. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 26 http://wikibon.org/blog/wp-content/uploads/2011/10/5-top-data-centers.html © 2012 IBM Corporation
  • 24. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Large Data Centers in past 2 years 10. SUPERNAP, LAS VEGAS, 407,000 SF 9A and 9B. MICROSOFT QUINCY AND SAN ANTONIO DATA CENTERS, 470,000 S 27 © 2012 IBM Corporation http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-supernap-microsoft-dft/#supernap http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-supernap-microsoft-dft/#quincy
  • 25. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Container Data Center Architecture 7. PHOENIX ONE, PHOENIX, ARIZ. 538,000 SF Microsoft’s Chicago Container Data Center 5. MICROSOFT CHICAGO DATA CENTER, Chicago 700,000 SF 2. QTS METRO DATA CENTER, ATLANTA, 990,000 SF http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-io-data-centers-microsoft/#phoenixone 28 http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-io-data-centers-microsoft/#chicago http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-ngd-terremark-qts/#qts © 2012 IBM Corporation
  • 26. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 More data centers…. 3. NAP OF THE AMERICAS, MIAMI, 750,000 SF 4. NEXT GENERATION DATA EU 1. 350 EAST CERMAK, CHICAGO, 29 © 2012 IBM Corporation
  • 27. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 2012: Other large world data centers Tulip Telecom, India, Bangalore Amadeus, Erding, Germany China to build 6.2 M sq feet data center by 2016 Utah Data Center, US Govt, 1M sq feet 30 http://www.datacenterknowledge.com/archives/2012/02/08/tulip-ibm-team-on-huge-data-center-in-india/ http://www.youtube.com/watch?v=-h5RYflgBcM © 2012 IBM Corporation
  • 28. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 That’s Big! Now….. what about the web giants?  i.e. Apple, Facebook, Google, Amazon, etc? http://www.fastcompany.com/magazine/160/tech-wars-2012-amazon-apple-google-facebook 31 © 2012 IBM Corporation
  • 29. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Apple Here’s what powers iCloud, see Jobs at WWDC 2011 iCloud announce (YouTube) iCloud Apple Apple Data Center Newark, California Data Center FAQ Rendering of Apple's new North Carolina Data Center. Credit: Apple Maiden, Under construction: Prineville, Oregon North Carolina 500K sq ft http://gigaom.com/cloud/apple-launches-icloud-heres-what-powers-it/ http://www.theregister.co.uk/2012/02/21/apple_new_data_center/ http://www.youtube.com/watch?v=IPNZAvX1yEs USD $1Billion http://www.datacenterknowledge.com/archives/2011/05/18/apple-adding-data-center-in-silicon-valley/ 32 © 2012 IBM Corporation
  • 30. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Facebook Lulea, Sweden - 290K sq ft (27K sq me 33 http://www.datacenterknowledge.com/archives/2012/04/20/facebooks-north-carolina-data-center-goes-live/ http://www.wired.com/wiredenterprise/2011/12/facebook-data-center/all/1 © 2012 IBM Corporation https://www.facebook.com/note.php?note_id=469716398919
  • 31. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Amazon Web Services 905 billion objects 450,000 650K servers req/sec EC2 17K core, 240 teraflop cluster 42 nd fastest supercomputer in world Amazon Web Services 1Q12: 450,000 servers Amazon Perdix Modular Datacenter 34 http://aws.typepad.com/aws/2012/04/amazon-s3-905-billion-objects-and-650000-requestssecond.html http://gigaom.com/cloud/how-big-is-amazon-web-services-bigger-than-a-billion/ © 2012 IBM Corporation
  • 32. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 What is Google? Google is not a search engine Inter- Disciplinary Google is a real-time “Data Factory” ecosystem – Defacto organizer of all human internet data – Worldwide Patterns of Life data – Android ingest / output devices • Motorola Wireless acquired $12B – Supporting businesses and ecosystem roles: • Google+, Play, Shop, Books, Gmail, Docs • Voice recognition The history of search engine http://www.wordstream.com/articles/internet-search-engines-history 35 © 2012 IBM Corporation
  • 33. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Google Data Centers in 2008: 36 © 2012 IBM Corporation
  • 34. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Google Data Center Photo Gallery http://www.google.com/about/datacenters/gallery/#/ 37 © 2012 IBM Corporation
  • 35. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Google Data Center CAPEX worldwide Each data center between $200M and $600M  Capital expenditures on datacenters: – 1Q12: USD$ 607M – 2011: USD$ 3.4B – 2010: USD$ 4.0B – 2009: USD$ 809M The Dalles, Oregon 38 http://www.datacenterknowledge.com/archives/2012/04/13/google-data-center-spending-recedes-to-607m/ © 2012 IBM Corporation
  • 36. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Traditional IT vs. Internet Scale Workload Data Center Source: Egan Ford, IBM Distinguished Engineer, Budapest xCL01 OpenStack presentation: http://xmission.com/~egan/cloud/ Source: http://it20.info/2012/02/the-cloud-magic-rectangle-tm/ 39 © 2012 IBM Corporation
  • 37. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Part 2: Disruptive Innovation 2. Disruptive Innovation in Today’s IT World  The Non-Traditional Competitor  Big Data, mobile Web 3.0 40 © 2012 IBM Corporation
  • 38. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 With all this opportunity……. Why is this Disruptive Change flat-lining traditional consumer PC / desktop manufacturers?  PC / laptop stalwarts  Unsuccessful in shift  To mobile Cloud / mobile market value *bigger increases* not azl ai pa Ct ekr a M PC/laptop market value big decreases i i t http://gigaom.com/2012/09/01/hp-dell-and-the-paradox-of-the-disrupted/ 41 © 2012 IBM Corporation
  • 39. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Inter- Observe: how fast mobile internet grows by 2014 Disciplinary  By 2014:  Mobile will be main way  Of connecting to Internet 42 http://www.digitalbuzzblog.com/2011-mobile-statistics-stats-facts-marketing-infographic © 2012 IBM Corporation
  • 40. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Disruptive Innovation Clayton Christensen Harvard Business School Definition:  Create new market and value  Eventually disrupts existing  Displaces earlier technology http://en.wikipedia.org/wiki/Disruptive_innovation 43 © 2012 IBM Corporation
  • 41. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Disruptive Innovation Clayton Christensen Harvard Business School  Not “advanced technologies”  Inferior yet “good enough”  Novel combinations  Starts low end  Grows up-market – “low end disruption” http://en.wikipedia.org/wiki/Disruptive_innovation 44 © 2012 IBM Corporation
  • 42. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Disruptive Innovation  Learn lessons  Watch today’s world Illustrative examples only 45 © 2012 IBM Corporation
  • 43. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Disruptive Innovation Clayton Christensen Harvard Business School  “Consumerization”  Not just technology  Delivery models (cloud)  Business models  Ecosystems http://en.wikipedia.org/wiki/Disruptive_innovation 46 © 2012 IBM Corporation
  • 44. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Mobile will affect all business models… Mobile = Geo-locational superfood Real-time analytics http://www.digitalbuzzblog.com/2011-mobile-statistics-stats-facts-marketing-infographic 47 © 2012 IBM Corporation
  • 45. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Cloud-scale Data Centers required for: Data Supertransformagicability TaxiWiz HousingMaps Weatherbug Source: http://mashable.com/2007/07/11/google-maps-mashups-2/ 48 © 2012 IBM Corporation
  • 46. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 By 2016, how much mobile data? What kind?  2012: – Mobile-connected devices > # people Smartphones 48%  2016: –10 billion mobile devices –(world population: 7.3 B) Web data, video 70% http://www.cisco.com/en/US/solutions/collateral/ns341/ns525/ns537/ns705/ns827/white_paper_c11-520862.html 49 © 2012 IBM Corporation
  • 47. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Will Big Data, Internet Cloud data centers, mobile-centric business models affect the way we compete? Implement IT? Yes, it will! Let’s see one more video http://www.youtube.com/watch?v=EdSd32nbtoA 50 © 2012 IBM Corporation
  • 48. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Disruptive Innovation Clayton Christensen Harvard Business School Inter-  Big Data / Cloud on Disciplinary disruptive path  Traditional IT still around but….  Newer technologies disrupt all platforms What will the effect be on your business model? 51 © 2012 IBM Corporation
  • 49. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 It’s NOT your Traditional competitors you need worry about 2011: 24 million Netflix customers Blockbuster 2002: “Online video not viable” “Niche market” 2010: Blockbuster files for bankruptcy http://hbswk.hbs.edu/item/7007.html 52 © 2012 IBM Corporation
  • 50. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 It’s NOT your Traditional competitors you need worry about Illustrative examples only http://www.tatango.com/blog/time-spent-on-mobile-devices-outpaces-newspapers-and-magazines/ 53 © 2012 IBM Corporation
  • 51. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Today, customers have many non-traditional alternatives  Non-traditional alternatives: Traditional alternatives: – The Cloud, the Developing World  Other platforms  Other vendors What will the effect be on your business model? 54 © 2012 IBM Corporation
  • 52. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Compute power = Internet-scale application stack summary visualization layer Data, I/O = Users analytic layer Location of competitive User Interface Layer advantage Reports, Dashboards, Mashups, Search, applications. Does all Ad hoc reporting, Spreadsheets workload balance, authorization redundancy Security Analytic Process Layer Real-time computing and analysis, stream computing, Unstructured data is the entity analytics, data mining, data proximity, content growth workload management, text analytics, etc. Infrastructure layer Virtualization, central end to end management, control, deployment on software, server, storage in a geographically dispersed environment Cloud OS software Servers, storage infrastructure 55 © 2012 IBM Corporation
  • 53. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 You want a partner like IBM that IBM SWG, Services covers the entire modern inter-discipline IBM SWG, IT stack Users Services IBM Software Group User Interface Layer Reports, Dashboards, Mashups, Search, Big Insights Ad hoc reporting, Spreadsheets InfoStreams authorization Security Analytic Process Layer Real-time computing and analysis, stream computing, IBM Analytics entity analytics, data mining, data proximity, content management, text analytics, etc. Infrastructure layer Virtualization, central end to end management, control, deployment on software, server, storage in a geographically dispersed environment IBM Cloud STG Virtualization STG Servers, Storage infrastructure 56 © 2012 IBM Corporation
  • 54. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Part 3: Principles for a successful IT Future Plans Meld / meet / build readiness Use, exploit, thrive 57 © 2012 IBM Corporation
  • 55. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Big Positioning picture e gar o s, r evr es/ $ BP, BT, B G : d qer e gar o S t t ’ Traditional Data Big Traditional Data Big IT Warehouse Data, IT Warehouse Data, Internet Internet scale scale 58 © 2012 IBM Corporation
  • 56. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Big Positioning picture Current IT architectures Growth areas Current Mobile, Cloud IT architectures e ga o t s. r evr es/ $ Growth areas BP, BT, B G : d qer e gar o S t Mobile, Cloud r ’ Traditional Data Big Traditional Data Big IT Warehouse Data IT Warehouse Data Internet Internet scale scale 59 © 2012 IBM Corporation
  • 57. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Current IT Build new, different skill sets architectures Traditional IT workload Current IT architectures e gar o s, r evr es/ $ Highly parallelized internet scale architecture BP, BT, B G : d qer e gar o S t Integrated E2E softwaret centric ’ Traditional Data Big Traditional Data Big IT Warehouse Data IT Warehouse Data Internet Internet scale scale 60 © 2012 IBM Corporation
  • 58. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Current IT Key strategy architectures Traditional IT architectures  Continue modernize current traditional IT … Architect new-gen connectors,  Architect future skills expandability e gar o s, r evr es/ $  Connect with Internet scale architectures – New generation mobile-enabled t workloads Traditional Data Big IT Warehouse Data Internet scale http://www.slideshare.net/johnsing1/s-bd03-infinitybeyond2internetscaleworkloadsdatacenterdesignv6speaker 61 © 2012 IBM Corporation
  • 59. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 To successfully co-exist / thrive with new generation workloads Views new gen  Understand Big Data / new gen as powerful workload environment partner Traditional IT architectures  Successfully innovate new capabilities  Expand your understanding r evr es/ $ Views Internet scale architectures traditional IT as powerful  Be the change you want your enabler company to be Traditional Data Big IT Warehouse Data Internet scale http://www.slideshare.net/johnsing1/s-bd03-infinitybeyond2internetscaleworkloadsdatacenterdesignv6speaker 62 © 2012 IBM Corporation
  • 60. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Apply lessons from today to Traditional IT as best possible Source: Egan Ford, IBM Distinguished Engineer, OpenStack presentation: http://xmission.com/~egan/cloud/ Source: http://it20.info/2012/02/the-cloud-magic-rectangle-tm/ 63 © 2012 IBM Corporation
  • 61. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Inter- How to get ahead and thrive in this new world? Disciplinary  2012: devote 1st hour of day to keeping current – No longer optional  Establish power-knowledge digital footprint, intelligently sharing what you find – Don’t email what you find (too much email already) – Use social networking, social bookmarking, blogs, etc  Become a power user of your smartphone’s ecosystem 64 © 2012 IBM Corporation
  • 62. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012  My external sources, daily IT research: Feel free – http://delicious.com/atsf_arizona to use me as a resource John Sing’s bookmarks  – http://www.linkedin.com/in/johnsing – http://www.slideshare.net/johnsing1  IBM colleagues may also see my IBM Intranet webpage: – http://snjgsa.ibm.com/~singj/ – http://snjgsa.ibm.com/~singj/public/sonas_index.html  singj@us.ibm.com 65 © 2012 IBM Corporation
  • 63. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Learning Points Inter- Disciplinary 1. Exploitation of the opportunity: Data, Data, Data!  Is being done in real-time Data Factories on internet scale today  Bandwidth will continue to create “The Cloud”  Understand and study how Internet Scale Data Center architectures house internet scale data Inter-disciplinary 2. Hyper-pace of Disruptive Innovation in Today’s IT World  Beware the Non-Traditional Competitor  The Mobile Web 3.0 is already impacting all business models 3. Invest your 1st hour of every day in being a part of the future  Be the change you want your company to be 66 © 2012 IBM Corporation
  • 64. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Inter- Inter-disciplinary Current IT Traditional IT Disciplinary Disruptive Innovation: New gen workloads Greatest opportunity to thrive r evr es/ $ we have yet seen Internet scale workloads disciplinary Inter- Traditional Data Big IT Warehouse Data Internet Identify inter-disciplinary new scale generation big data workloads, business models Big Data Exascale datacenters Applications Cloud  Massive parallelism Know non-traditional competitors well Business Models  E2E automation Mobile Develop / implement to meld, meet, use, exploit, thrive with new reality 67 © 2012 IBM Corporation
  • 65. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Together, let’s build a Smarter Planet 68 © 2012 IBM Corporation
  • 66. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Recommend you download, read, this very informative IBM book  “Understanding Big Data” – Published April 2012 – Free download – Well worth reading to understand components of Big Data, and how to exploit  Part 1: The Big Deal about Big Data – Chapter 1 – What is Big Data? Hint: You’re a Part of it Every Day – Chapter 2 – Why Big Data is Important – Chapter 3 – Why IBM for Big Data  Part II: Big Data: From the Technology Perspective – Chapter 4 - All About Hadoop: The Big Data Lingo Chapter – Chapter 5 – IBM InfoSphere Big Insights – Analytics for “At Rest” Big Data – Chapter 6 – IBM InfoSphere Streams – Analytics for “In Motion” Big Data Download your free copy here http://public.dhe.ibm.com/common/ssi/ecm/en/iml14297usen/IML14297USEN.PDF 69 © 2012 IBM Corporation
  • 67. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Applying the lessons from Internet-scale Cloud Computing to the Traditional data center 70 © 2012 IBM Corporation
  • 68. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Cloud Value Proposition and Positioning Traditional IT Source: http://it20.info/2012/02/the-cloud-magic-rectangle-tm/ 71 © 2012 IBM Corporation
  • 69. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 How You (Provider) Build These Clouds Source: http://it20.info/2012/02/the-cloud-magic-rectangle-tm/ 72 © 2012 IBM Corporation
  • 70. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 What You (Consumer) Get with These Clouds: Source: http://it20.info/2012/02/the-cloud-magic-rectangle-tm/ 73 © 2012 IBM Corporation
  • 71. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Policy-based Clouds and Design-for-fail Clouds are purpose optimized Infrastructure Management solutions  Policy-based Clouds  Design-for-fail Clouds • Purpose optimized for longer-lived virtual • Purpose optimized for shorter-term virtual machines managed by Server machines managed via end-user or Administrator automated process • Centralizes enterprise server virtualization • Decentralized control, embraces eventual administration tasks consistency, focus on making “good enough” decisions • High degree of flexibility designed to accommodate virtualization all workloads • High degree of standardization • Significant focus on managing availability • Significant focus on ensuring availability of and QoS for long-lived workloads with level control plane of isolation • Characteristics driven by software • Characteristics derived from exploiting • New applications enterprise class hardware • Legacy applications 74 © 2012 IBM Corporation
  • 72. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Internet-scale warehouse-level cloud data center What’s biggest cost-savings element? 75 © 2012 IBM Corporation
  • 73. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Internet Scale data center power components… 76 Image courtesy of DLB Associates: D. Dyer, “Current trends/challenges in datacenter thermal management—a facilities perspective,”presentation at ITHERM, San Diego, CA, June 1, 2006. © 2012 IBM Corporation “The Data Center as a Computer: Introduction to Warehouse Scale Computing”, figure 4-1, p.40 Barroso, Holzle http://www.morganclaypool.com/doi/pdf/10.2200/S00193ED1V01Y200905CAC006
  • 74. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Physical cooling, Breakdown of data center UPS dominates the energy overheads electrical power cost UPS alone is 18% of construction cost Chiller alone is 33% of the cost Image courtesy of ASHRAE “The Data Center as a Computer: Introduction to Warehouse Scale Computing”, figure 5-2, p.49 Barroso, Holzle http://www.morganclaypool.com/doi/pdf/10.2200/S00193ED1V01Y200905CAC006 77 © 2012 IBM Corporation
  • 75. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 construction cost of Internet Scale Data Center is Power / Cooling ? Reducing power profile reduces construction cost Facebook’s North Carolina Data Center Goes Live Facebook – Prinville , Oregon Has spent $1B on it’s data centers Facebook: Lulea, Sweden - 29 Open Compute Project 78 © 2012 IBM Corporation
  • 76. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Google claims its data centers use Industry average PUE is about 1.8 50% less energy than competitors  Power Usage Effectiveness – PUE=1.14 means power overhead is only 14% – Industry average is around 1.8 http://venturebeat.com/2012/03/26/google-data-centers-use-less-energy/ http://www.datacenterknowledge.com/archives/2011/05/10/uptime-institute-the-average-pue-is-1-8/ 79 © 2012 IBM Corporation
  • 77. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Modular Data Center Value isn’t just time to delivery / flexibility It’s also Higher Power density = lower construction cost http://www.youtube.com/watch?v=zRwPSFpLX8I 80 © 2012 IBM Corporation
  • 78. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 That’s why you see such a big modern push on Container Data Centers: 7. PHOENIX ONE, PHOENIX, ARIZ. 538,000 SF Microsoft’s Chicago Container Data Center 5. MICROSOFT CHICAGO DATA CENTER, Chicago 700,000 SF 2. QTS METRO DATA CENTER, ATLANTA, 990,000 SF 81 © 2012 IBM Corporation
  • 79. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 State of the Modular Data Center Mismatch between rapid workload churn vs. 10+ year data center lifespan = modular data center characteristics strategic possibilities for new build data centers Cyrus One 1 million sq ft “Massively Modular” data center under construction in Phoenix, Arizona I/O Modular Data Center Assembly line http://www.datacenterknowledge.com/archives/2012/02/06/the-state-of-the-modular-data-center/ http://www.datacenterknowledge.com/archives/2012/05/17/cyrusone-going-massively-modular-in-phoenix/ http://www.datacenterknowledge.com/archives/2012/01/30/inside-ios-modular-data-center-assembly-line/ 82 © 2012 IBM Corporation
  • 80. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 IBM internet-scale modern application stack: User interface Users User Interface Layer Reports, Dashboards, Mashups, Search, Ad hoc reporting, Spreadsheets authorization Security Analytic Process Layer Real-time computing and analysis, stream computing, entity analytics, data mining, data proximity, content management, text analytics, etc. Infrastructure layer Virtualization, central end to end management, control, deployment on software, server, storage in a geographically dispersed environment 83 © 2012 IBM Corporation
  • 81. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Analytics layer Users User Interface Layer Reports, Dashboards, Mashups, Search, Ad hoc reporting, Spreadsheets authorization Analytics Security Analytic Process Layer Real-time computing and analysis, stream computing, entity analytics, data mining, data proximity, content management, text analytics, etc. Infrastructure layer Virtualization, central end to end management, control, deployment on software, server, storage in a geographically dispersed environment 84 © 2012 IBM Corporation
  • 82. sGE01 IBM Analytics IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 IBM Analytics layer Big Data Accelerators Users Text Statistics Financial Geospatial Image/Video Mining Times Series Mathematical User Interface Layer Reports, Dashboards, Mashups, Search, Applications Ad hoc reporting, Spreadsheets authorization Big Data Enterprise Engines Security Analytic Process Layer Real-time computing and analysis, stream computing, entity analytics, data mining, data proximity, content InfoSphere Streams InfoSphere BigInsights management, text analytics, etc. Productivity Tools and Optimization Infrastructure layer Workload Management and Consumability and Management Optimization Tools Virtualization, central end to end management, control, deployment on software, server, storage in a geographically dispersed environment Open Source Foundation Components 85 © 2012 IBM Corporation
  • 83. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 IBM Big Data Reference Architecture IBM Big Data Client and Partner Marketing Solutions Solutions IBM Unica Big Data Accelerators Content Analytics ECM Text Statistics Financial Geospatial Acoustic Image/Video Mining Times Series Mathematical Business Analytics Cognos & SPSS Connectors Applications Blueprints Warehouse InforSphere Information Server Appliance Big Data Enterprise Engines IBM Netezza Master Data Management InfoSphere MDM InfoSphere Streams InfoSphere BigInsights Data Warehouse InfoSphere Productivity Tools and Optimization Warehouse Workload Management Consumability and and Optimization Management Tools Database DB2 Open Source Foundation Components Data Growth Management Eclipse Oozie Hadoop HBase Pig Lucene Jaql InfoSphere Optim 86 86 © 2012 IBM Corporation
  • 84. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 IBM’s Cloud Service Reference Architecture Cloud Service Provider Cloud Services Common Cloud Management Platform (CCMP) Business-Process- as-a-Service Partner Capabilities Cloud Service Integration Tools Software-as-a-Service Operational Business Service Support Support Creation Services Services Tools (OSS) (BSS) Platform-as-a-Service Consumer In-house IT Infrastructure-as-a-Service Infrastructure Security, Resiliency & Performance Governance Getting Cloud Right -- IBM Reference Architecture Whitepaper Open Group Document 87 © 2012 IBM Corporation

Notas del editor

  1. Source: IDC's 2011 Enterprise Disk Storage Consumption Model
  2. Chart in public domain: IEEE Massive File Storage presentation, author: Bill Kramer, NCSA: http://storageconference.org/2010/Presentations/MSST/1.Kramer.pdf
  3. http://www.hawkeyeuav.com/ http://www.gatewing.com/ http://www.sensefly.com/ http://www.aeryon.com/products.html http://www.leptron.com/corporate/products/
  4. http://www.geodigital.com/ http://www.profsurv.com/magazine/article.aspx?i=70599Mobile Mapping article http://www.gim-international.com/issues/articles/id1306-Mapping_with_Mobile_Lidar.html http://www.sparpointgroup.com/News/Vol09No37-New-feature-extraction-tool-for-lidar/ http://www.lidarnews.com/PDF/LiDARMagazine_Richardson-PreservingThePast_Vol2No5.pdf http://www.lidarnews.com/content/view/9228/198/ Coordinates and Building Info Mgmt article http://www.southernmapping.com/methodology.php http://www.lidarnews.com/PDF/LiDARMagazine_Amadori-UtilityVegetationManagement_Vol2No5.pdf
  5. Chart in public domain: IEEE Massive File Storage presentation, author: Bill Kramer, NCSA: http://storageconference.org/2010/Presentations/MSST/1.Kramer.pdf:
  6. Online URL for this video is: http://www.youtube.com/watch?v=_ZyU6po_E74 Blue CRUSH in Memphis, TN & Richmond, VA Blue CRUSH predictive analysis for officer deployment & risk management generated easy-to-read crime maps every four hours Richmond, VA: Violent crime decreased in the first year by 32%, another 40% thereafter, moving Richmond from #5 on the list of the most dangerous US cities to #99 Another great example of using predictive technology is in the City of Richmond. Richmond, Virginia had a significant problem with violent crime. In fact, in one year, they were listed as the 9 th most dangerous large city in the US. And this was not a one time problem. The following year, Richmond increased it’s rank to #5! The city had no interest in becoming the #1 most dangerous city and wanted to do something different… and do it quickly! IBM helped the City of Richmond to analyze its crime data and provide enhanced predictions on the times and locations with the highest probability of crimes. The City was able to align its resources to the areas that were most likely to experience crimes As a result, violent crime decreased in the first year by 32%. And this also wasn’t a 1-time decrease. The following year, violent crime fell another 40% moving Richmond from #5 on the list of the most dangerous US cities to #99. Most cities can’t afford to keep adding new resources. Our goal is to use our resources more effectively in fighting crime and keeping our cities safe. On our smarter planet, technology can help us do that.
  7. There is a new class of data rich companies emerging where the company’s value is based on the amount of information it can store and exploit. We call these “hyperscale data companies.” Examples of the hyperscale data companies today are Google, Amazon, and Facebook. In order for these companies to grow revenue and profit, their business models require that be able to store vast amounts of data. As a result, storage becomes a core competence for these companies. We see that over time, companies in various industries will need to collect, store, and exploit very large amounts of data and will move towards becoming hyperscale data companies. Two examples: A large healthcare company currently has 3.5 petabytes of data and is installing new imaging scanners that generate 1 terabyte per session and over 2 ½ petabytes per year. In order to provide high quality healthcare to their patients and offer more services, they will need to store this data for years to come and have that data readily accessible. A large insurance company currently has 20 petabytes of data and grows by over 300 terabytes a month – every month. In addition to using this data to process claims, they want to be able to exploit this data to provide services to other claims processors and to provide services across the healthcare ecosystem.
  8. http://www.mckinsey.com/mgi/publications/big_data/index.asp
  9. http://www.mckinsey.com/Insights/MGI/Research/Technology_and_Innovation/Big_data_The_next_frontier_for_innovation Free download: Big data: The next frontier for innovation, competition, and productivity https://www.mckinseyquarterly.com/Are_you_ready_for_the_era_of_big_data_2864
  10. http://gigaom.com/broadband/worldwide-broadband-demand-speeds-are-zooming/
  11. http:// www.akamai.com/stateoftheinternet / http://www.de-c http://en.wikipedia.org/wiki/List_of_Internet_exchange_points_by_size http://www.de-cix.net/about/statistics / IXP statistics traffic – de-cix.net in Frankfurt, the current largest Internet Exchange Point in the world. Nearly 2Tb/sec (200 GB/sec)
  12. Source: Independent Analyst Shipment Data, Cisco Analysis, at: http://www.datacenterknowledge.com/archives/2012/10/23/cisco-releases-2nd-annual-global-cloud-index/ http://www.cisco.com/en/US/solutions/collateral/ns341/ns525/ns537/ns705/ns1175/Cloud_Index_White_Paper.html
  13. http://wikibon.org/blog/how-big-is-the-world-of-cloud-computing-infographic/
  14. Bandwidth: http://www.cisco.com/en/US/solutions/collateral/ns341/ns525/ns537/ns705/ns827/VNI_Hyperconnectivity_WP.html http:// www.akamai.com/stateoftheinternet / Cisco global IP traffic study and forecast: http://www.akamai.com/stateoftheinternet
  15. With their corresponding storage, networking, power distribution and cooling, software, and software developers to create all this this
  16. http://wikibon.org/blog/wp-content/uploads/2011/10/5-top-data-centers.html
  17. http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-supernap-microsoft-dft/#supernap http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-supernap-microsoft-dft/#quincy
  18. http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-io-data-centers-microsoft/#phoenixone http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-io-data-centers-microsoft/#chicago http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-ngd-terremark-qts/#qts http://news.cnet.com/2300-10805_3-10001679.html = Inside Microsoft Container Data Center
  19. #1 data center consumes 100 megawatts of power, 2nd-largest power customer for Commonwealth Edison, trailing only Chicago’s O’Hare Airport. http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-ngd-terremark-qts/#ngd http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-ngd-terremark-qts/#napota http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/worlds-largest-data-center-350-e-cermak/ 10. The SuperNAP, Las Vegas (Switch Communications) 9A and 9B. Microsoft Data Centers in Quincy Washington and San Antonio 8. CH1, Elk Grove Village, Ill. (DuPont Fabros) 7. Phoenix ONE, Phoenix (i/o Data Centers) 6. Microsoft Dublin (Microsoft) 5. Container Data Center, Chicago (Microsoft) 4. NGD Europe, Newport Wales (Next Generation Data) 3. The NAP of the Americas, Miami (Terremark) 2. Metro Technology Center, Atlanta (Quality Technology) 1. 350 East Cermak / Lakeside Technology Center (Digital Realty)
  20. http://www-03.ibm.com/press/us/en/pressrelease/36693.wss http://www.datacenterknowledge.com/archives/2012/02/08/tulip-ibm-team-on-huge-data-center-in-india/ http:// www.youtube.com/watch?v =-h5RYflgBcM Amadeus: 1+ billion transactions / day .3 second response time Access to 95% of the worlds airline seats 5000+ servers Powers over 260 websites in 110 countries for over 100 airlines 10 PB of storage Tulip Telecom: Currently largest in AP and 3d largest in world (for now) Nearly 1 M sq feet Co-built with IBM http://www.amadeus.com/blog/16/03/did-you-know-amazing-facts-about-amadeus/ http://www.govtech.com/featured/China-to-Build-Worlds-Largest-Data-Center.html http://www.wired.com/threatlevel/2012/03/ff_nsadatacenter/all/1
  21. http://www.fastcompany.com/magazine/160/tech-wars-2012-amazon-apple-google-facebook
  22. http://gigaom.com/cloud/apple-launches-icloud-heres-what-powers-it/ http:// www.youtube.com/watch?v =IPNZAvX1yEs http://www.theregister.co.uk/2012/02/21/apple_new_data_center/ http://www.datacenterknowledge.com/archives/2011/05/18/apple-adding-data-center-in-silicon-valley/ http://www.datacenterknowledge.com/the-apple-data-center-faq / Apple purposes for these data centers: iCloud Support Apple’s WW install base of devices Futures: Move Content Delivery Network in-house? Futures: Streaming video? Other Apple data centers: Cork, Ireland Munich, Germany Newark, California Cupertion, Calif
  23. http://www.datacenterknowledge.com/archives/2012/04/20/facebooks-north-carolina-data-center-goes-live/ http://www.wired.com/wiredenterprise/2011/12/facebook-data-center/all/1 https:// www.facebook.com/note.php?note_id =469716398919 http://www.datacenterknowledge.com/archives/2011/10/27/facebook-goes-global-with-data-center-in-sweden/ http://wikibon.org/blog/inside-ten-of-the-worlds-largest-data-centers/ http://www.datacenterknowledge.com/archives/2012/02/02/facebooks-1-billion-data-center-network/
  24. http://aws.typepad.com/aws/2012/04/amazon-s3-905-billion-objects-and-650000-requestssecond.html http://gigaom.com/cloud/how-big-is-amazon-web-services-bigger-than-a-billion/ http://www.datacenterknowledge.com/archives/2011/06/09/a-look-inside-amazons-data-centers/ http://gigaom.com/cloud/just-how-big-is-the-amazon-cloud-anyway / http://www.economist.com/node/21548487 The focus of Jeff Bezos, CEO / founder of Amazon http:// mvdirona.com/jrh/work / James Hamilton, AWS Vice President and Distinguished Engineer on the Amazon Web Services team where he is focused on infrastructure efficiency, reliability, and scaling.  All his presentations are listed here at this URL.
  25. http://www.google.com/about/datacenters/locations/ http://www.google.com/about/datacenters/locations/the-dalles http://www.datacenterknowledge.com/archives/2012/04/13/google-data-center-spending-recedes-to-607m/
  26. http://royal.pingdom.com/2008/04/11/map-of-all-google-data-center-locations/ http://www.datacenterknowledge.com/archives/2012/04/13/google-data-center-spending-recedes-to-607m/ A capital expenditure is an investment in a long-term asset, typically physical assets such as buildings or machinery. Google says the majority of its capital investments are for IT infrastructure, including data enters, servers, and networking equipment. In the past the company’s CapEx spending has closely tracked its data center construction projects, each of which requires between $200 million and $600 million in investment.
  27. As of Sept 11, 2012, IBM market capitalization is $232B
  28. http://liesdamnedliesstatistics.com/2012/05/stats-that-show-why-you-need-a-mobile-first-approach-now.html http://www.digitalbuzzblog.com/2011-mobile-statistics-stats-facts-marketing-infographic By 2014: mobile will be main way of connecting to Internet.   Younger consumers are already doing so, various activities ranging from social media to online shopping are increasing on smartphones. Smartphones are becoming the primary camera for more and more people coinciding with Instagram reaching 50 million users while smartphone users are not only always connected but engage in content snacking as this US report says  In other words, what we consume may not be different but how we consume it, how long for, how they share it and how they view it will be.
  29. http:// en.wikipedia.org/wiki/Disruptive_innovation
  30. http:// en.wikipedia.org/wiki/Disruptive_innovation
  31. http:// en.wikipedia.org/wiki/Disruptive_innovation
  32. http:// en.wikipedia.org/wiki/Disruptive_innovation
  33. http://www.digitalbuzzblog.com/2011-mobile-statistics-stats-facts-marketing-infographic By 2014: mobile will be main way of connecting to Internet.   Younger consumers are already doing so, various activities ranging from social media to online shopping are increasing on smartphones. Smartphones are becoming the primary camera for more and more people coinciding with Instagram reaching 50 million users while smartphone users are not only always connected but engage in content snacking as this US report says  In other words, what we consume may not be different but how we consume it, how long for, how they share it and how they view it will be.
  34. http://mashable.com/2007/07/11/google-maps-mashups-2/ A mashup is a lightweight web application that combines data from more than one source into an integrated and new, useful experience. TaxiWiz Figure out how much a cab ride is likely to cost beforehand by plotting your route in six different cities including New York and San Francisco. From LAX airport to 930 Wilshire Blvd where this conference is taking place; Estimated cost: That cab ride would cost about $42.00. That's roughly $48 with a 15% tip. It is about 17.9 miles. There is a $42.00 flat fare for trips from LAX Airport to Los Angeles. HousingMaps This site is a mashup of Craigslist with Google Maps, providing a listing of housing for rent and for sale in most major cities. The site also includes filters so you can drill down to listings in a specific price range.
  35. http://techcrunch.com/2012/02/14/the-number-of-mobile-devices-will-exceed-worlds-population-by-2012-other-shocking-figures/ http://www.cisco.com/en/US/solutions/collateral/ns341/ns525/ns537/ns705/ns827/white_paper_c11-520862.html
  36. Online URL for this video is: http://www.youtube.com/watch?v=EdSd32nbtoA
  37. http:// en.wikipedia.org/wiki/Disruptive_innovation
  38. http://hbswk.hbs.edu/item/7007.html
  39. http://www.tatango.com/blog/time-spent-on-mobile-devices-outpaces-newspapers-and-magazines/ Sept 2011
  40. Illustrative Cloud examples only No endorsement is implied or expressed
  41. Summary: When you break it down even further, IBM has constructed a portfolio of software and solutions with the breadth and depth to meet all of the needs of all organizations today, combined with unique synergies across this portfolio that enable organizations to start with their most pressing needs knowing that they will be able to leverage their skills and investment in future projects to reduce risk, lower costs and achieve faster time to value in meeting the needs of the business. There are multiple “entry-points”, driven by your most pressing needs, that help you start moving down the path for an information-led transformation. (Note: describe this slide from the bottom-up ) When you think about an information-led transformation, you need to ensure that your infrastructure and systems are optimized to handle the various workloads that are demanded of it. Especially today when you are faced with a glut of new information, you need to ensure that relevant information is available, that it is secure and that you are able to retrieve it in a timely manner not only for analytical, operational and transactional systems, but also for regulatory compliance. That is why IBM Software Group and our Systems & Technology Group are working together to provide optimized solutions focused on delivering greater business value to our customers, faster, for increased return on investment. From the new IBM Smart Analytics System, to the new DB2 PureScale for continuous availability, unlimited capacity and application transparency, to the deep integration of System z, IBM has unparalleled expertise in designing and implementing workload optimized systems and services. On top of that infrastructure, there is also the need to ensure that you can bring all of those sources of information together to create a single, trusted view of information from across your business – regardless of whether that information is structured or unstructured – and then manage it over time. From data warehousing, Master Data Management, information integration, and Agile ECM and integrated data management, IBM’s InfoSphere portfolio ensures that organizations will be able to leverage their information over time to drive innovation across their business. And armed with this single-view of your business, you can then look to optimize business processes and drive greater performance across your organization. Decision makers will have the right information, at the right time, in the right context to make better, more informed decisions, and even anticipate new opportunities or counter potential threats more effectively. The Business Analytics and Optimization Platform supports and information-led transformation in that it focuses on establishing well-constructed processes and empowering individuals throughout the organization with pervasive, predictive real-time analytics . From Cognos and the newly acquired SPSS portfolios, organizations can now be more pro-active and predictive in innovating their business.
  42. Summary: When you break it down even further, IBM has constructed a portfolio of software and solutions with the breadth and depth to meet all of the needs of all organizations today, combined with unique synergies across this portfolio that enable organizations to start with their most pressing needs knowing that they will be able to leverage their skills and investment in future projects to reduce risk, lower costs and achieve faster time to value in meeting the needs of the business. There are multiple “entry-points”, driven by your most pressing needs, that help you start moving down the path for an information-led transformation. (Note: describe this slide from the bottom-up ) When you think about an information-led transformation, you need to ensure that your infrastructure and systems are optimized to handle the various workloads that are demanded of it. Especially today when you are faced with a glut of new information, you need to ensure that relevant information is available, that it is secure and that you are able to retrieve it in a timely manner not only for analytical, operational and transactional systems, but also for regulatory compliance. That is why IBM Software Group and our Systems & Technology Group are working together to provide optimized solutions focused on delivering greater business value to our customers, faster, for increased return on investment. From the new IBM Smart Analytics System, to the new DB2 PureScale for continuous availability, unlimited capacity and application transparency, to the deep integration of System z, IBM has unparalleled expertise in designing and implementing workload optimized systems and services. On top of that infrastructure, there is also the need to ensure that you can bring all of those sources of information together to create a single, trusted view of information from across your business – regardless of whether that information is structured or unstructured – and then manage it over time. From data warehousing, Master Data Management, information integration, and Agile ECM and integrated data management, IBM’s InfoSphere portfolio ensures that organizations will be able to leverage their information over time to drive innovation across their business. And armed with this single-view of your business, you can then look to optimize business processes and drive greater performance across your organization. Decision makers will have the right information, at the right time, in the right context to make better, more informed decisions, and even anticipate new opportunities or counter potential threats more effectively. The Business Analytics and Optimization Platform supports and information-led transformation in that it focuses on establishing well-constructed processes and empowering individuals throughout the organization with pervasive, predictive real-time analytics . From Cognos and the newly acquired SPSS portfolios, organizations can now be more pro-active and predictive in innovating their business.
  43. My presentation on Internet Scale architectures: http://www.slideshare.net/johnsing1/s-bd03-infinitybeyond2internetscaleworkloadsdatacenterdesignv6speaker
  44. Understand your company’s and your industry’s Big Data / Modern Analytics initiatives, components, and vision within your environment: To be viewed as a powerful partner and enabler of these workloads Architect how you wish to your platform, people, and infrastructure to grow along these lines Take the daily challenge to be on top of them My presentation on Internet Scale architectures: http://www.slideshare.net/johnsing1/s-bd03-infinitybeyond2internetscaleworkloadsdatacenterdesignv6speaker
  45. Think larger than technology Watch the business models, learn and apply Use tools like Lotus Communities, Dropbox, Delicious…. Step by step, intentionally form your own digital worldwide footprint and network of leveraged friends sharing research – Be the change you want your world, company, and career to be The sharing process is what develops your daily sources of research and collaboration I suggest iPhone or Android smart phone ecosystems (because the others don’t really have an equivalent cosystem)
  46. Identify your Big Data / new gen workloads / competitors for that workload Many non-traditional competitors for workload Laying out plans to meld / meet / build readiness for: Awareness, platform readiness, accept/intermix connectors, skills, tactics, architectures Resources to help you on this journey
  47. Link to enter your email address and then get free copy of this book downloaded: https://www14.software.ibm.com/webapp/iwm/web/signup.do?source=sw-infomgt&S_PKG=500016891&S_CPM=is_bdebook1_biginsightsfp Direct URL to load book (3.5 MB Acrobat Reader file): http://public.dhe.ibm.com/common/ssi/ecm/en/iml14297usen/IML14297USEN.PDF
  48. Image courtesy DLB Associates: D. Dyer, “Current trends/challenges in datacenter thermal management—a facilities perspective,” presentation at ITHERM, San Diego, CA, June 1, 2006. “ The Data Center as a Computer: Introduction to Warehouse Scale Computing”, figure 4-1, p.40 Barroso, Holzle http://www.morganclaypool.com/doi/pdf/10.2200/S00193ED1V01Y200905CAC006
  49. Image courtesy of ASHRAE http://www.ashrae.org American Society of Heating, Refrigerating and Air-Conditioning Engineers  “ The Data Center as a Computer: Introduction to Warehouse Scale Computing”, figure 5-2, p.49 Barroso, Holzle http://www.morganclaypool.com/doi/pdf/10.2200/S00193ED1V01Y200905CAC006
  50. http://www.datacenterknowledge.com/archives/2012/04/20/facebooks-north-carolina-data-center-goes-live/ http://www.wired.com/wiredenterprise/2011/12/facebook-data-center/all/1 https:// www.facebook.com/note.php?note_id =469716398919 http://www.datacenterknowledge.com/archives/2011/10/27/facebook-goes-global-with-data-center-in-sweden/ http://wikibon.org/blog/inside-ten-of-the-worlds-largest-data-centers/ http://www.datacenterknowledge.com/archives/2012/02/02/facebooks-1-billion-data-center-network/
  51. http://venturebeat.com/2012/03/26/google-data-centers-use-less-energy/ http://www.google.com/about/datacenters/inside/efficiency/power-usage.html http://www.datacenterknowledge.com/archives/2011/05/10/uptime-institute-the-average-pue-is-1-8/
  52. http://www.youtube.com/watch?v=zRwPSFpLX8I
  53. http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-io-data-centers-microsoft/#phoenixone http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-io-data-centers-microsoft/#chicago http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-ngd-terremark-qts/#qts http://news.cnet.com/2300-10805_3-10001679.html = Inside Microsoft Container Data Center
  54. http://www.datacenterknowledge.com/archives/2012/05/17/cyrusone-going-massively-modular-in-phoenix/ http://www.datacenterknowledge.com/archives/2012/02/06/the-state-of-the-modular-data-center/ http://www.datacenterknowledge.com/archives/2012/01/30/inside-ios-modular-data-center-assembly-line/ IO  has 35 customers using its IO Anywhere modules, who have deployed about 50 modules in the company’s immense data centers in Phoenix and New Jersey. IO customers using modules include Photobucket, Allianz, Avnet, Logicalis and Suntron. Cloud computing provider  Red Cloud , will install 4.5 megawatts of modular capacity at three sites across Australia, demonstrating the remote deployment capability. HP  recently cited momentum for its modular offering, the Portable Optimized Datacenter (POD). Customers who have recently used PODs to expand their IT operations include UCLA, Skoda Power, the Australian government and the city of El Paso, Texas. Modules from  Dell’s Data Center Solutions Group  (DCS) are powering  Bing Maps , the  Janus Supercomputer  at the University of Colorado and a  Tier 5 facility  in Australia, and will populate Dell’s own cloud data center in  Quincy, Washington . Colt  has supplied its factory-built modules to  Verne Global  in Iceland, where they will house servers for managed hosting provider Datapipe, as well as a substantial deployment for systems integrator  Phoenix IT  in London. Modules from  AST Global  have populated a 21-unit  data center park  for a financial customer in Denmark, as well as servers for Opera within the  Thor Data Center  in Iceland. eBay  has used a new modular design for a new data center in  Phoenix , and will also use modules to power the second phase of its major data center near  Salt Lake City . Cloud computing pioneer  Amazon Web Services  is using a modular design known as Perdix to deploy data center capacity at several sites in  central Oregon . Microsoft  has been among the most aggressive in adopting the modular form factor, using it as the building block for major data centers in  Chicago , Washington state ,  Virginia  and  Iowa . Google  was perhaps the first company to use container in a large-scale deployment, using them in a data center  it built in 2005 .
  55. Summary: When you break it down even further, IBM has constructed a portfolio of software and solutions with the breadth and depth to meet all of the needs of all organizations today, combined with unique synergies across this portfolio that enable organizations to start with their most pressing needs knowing that they will be able to leverage their skills and investment in future projects to reduce risk, lower costs and achieve faster time to value in meeting the needs of the business. There are multiple “entry-points”, driven by your most pressing needs, that help you start moving down the path for an information-led transformation. (Note: describe this slide from the bottom-up ) When you think about an information-led transformation, you need to ensure that your infrastructure and systems are optimized to handle the various workloads that are demanded of it. Especially today when you are faced with a glut of new information, you need to ensure that relevant information is available, that it is secure and that you are able to retrieve it in a timely manner not only for analytical, operational and transactional systems, but also for regulatory compliance. That is why IBM Software Group and our Systems & Technology Group are working together to provide optimized solutions focused on delivering greater business value to our customers, faster, for increased return on investment. From the new IBM Smart Analytics System, to the new DB2 PureScale for continuous availability, unlimited capacity and application transparency, to the deep integration of System z, IBM has unparalleled expertise in designing and implementing workload optimized systems and services. On top of that infrastructure, there is also the need to ensure that you can bring all of those sources of information together to create a single, trusted view of information from across your business – regardless of whether that information is structured or unstructured – and then manage it over time. From data warehousing, Master Data Management, information integration, and Agile ECM and integrated data management, IBM’s InfoSphere portfolio ensures that organizations will be able to leverage their information over time to drive innovation across their business. And armed with this single-view of your business, you can then look to optimize business processes and drive greater performance across your organization. Decision makers will have the right information, at the right time, in the right context to make better, more informed decisions, and even anticipate new opportunities or counter potential threats more effectively. The Business Analytics and Optimization Platform supports and information-led transformation in that it focuses on establishing well-constructed processes and empowering individuals throughout the organization with pervasive, predictive real-time analytics . From Cognos and the newly acquired SPSS portfolios, organizations can now be more pro-active and predictive in innovating their business.
  56. Top layer = consumer , middle = creator of the new programs and the value/insights inside the big data Summary: When you break it down even further, IBM has constructed a portfolio of software and solutions with the breadth and depth to meet all of the needs of all organizations today, combined with unique synergies across this portfolio that enable organizations to start with their most pressing needs knowing that they will be able to leverage their skills and investment in future projects to reduce risk, lower costs and achieve faster time to value in meeting the needs of the business. There are multiple “entry-points”, driven by your most pressing needs, that help you start moving down the path for an information-led transformation. (Note: describe this slide from the bottom-up ) When you think about an information-led transformation, you need to ensure that your infrastructure and systems are optimized to handle the various workloads that are demanded of it. Especially today when you are faced with a glut of new information, you need to ensure that relevant information is available, that it is secure and that you are able to retrieve it in a timely manner not only for analytical, operational and transactional systems, but also for regulatory compliance. That is why IBM Software Group and our Systems & Technology Group are working together to provide optimized solutions focused on delivering greater business value to our customers, faster, for increased return on investment. From the new IBM Smart Analytics System, to the new DB2 PureScale for continuous availability, unlimited capacity and application transparency, to the deep integration of System z, IBM has unparalleled expertise in designing and implementing workload optimized systems and services. On top of that infrastructure, there is also the need to ensure that you can bring all of those sources of information together to create a single, trusted view of information from across your business – regardless of whether that information is structured or unstructured – and then manage it over time. From data warehousing, Master Data Management, information integration, and Agile ECM and integrated data management, IBM’s InfoSphere portfolio ensures that organizations will be able to leverage their information over time to drive innovation across their business. And armed with this single-view of your business, you can then look to optimize business processes and drive greater performance across your organization. Decision makers will have the right information, at the right time, in the right context to make better, more informed decisions, and even anticipate new opportunities or counter potential threats more effectively. The Business Analytics and Optimization Platform supports and information-led transformation in that it focuses on establishing well-constructed processes and empowering individuals throughout the organization with pervasive, predictive real-time analytics . From Cognos and the newly acquired SPSS portfolios, organizations can now be more pro-active and predictive in innovating their business.
  57. Top layer = consumer , middle = creator of the new programs and the value/insights inside the big data Summary: When you break it down even further, IBM has constructed a portfolio of software and solutions with the breadth and depth to meet all of the needs of all organizations today, combined with unique synergies across this portfolio that enable organizations to start with their most pressing needs knowing that they will be able to leverage their skills and investment in future projects to reduce risk, lower costs and achieve faster time to value in meeting the needs of the business. There are multiple “entry-points”, driven by your most pressing needs, that help you start moving down the path for an information-led transformation. (Note: describe this slide from the bottom-up ) When you think about an information-led transformation, you need to ensure that your infrastructure and systems are optimized to handle the various workloads that are demanded of it. Especially today when you are faced with a glut of new information, you need to ensure that relevant information is available, that it is secure and that you are able to retrieve it in a timely manner not only for analytical, operational and transactional systems, but also for regulatory compliance. That is why IBM Software Group and our Systems & Technology Group are working together to provide optimized solutions focused on delivering greater business value to our customers, faster, for increased return on investment. From the new IBM Smart Analytics System, to the new DB2 PureScale for continuous availability, unlimited capacity and application transparency, to the deep integration of System z, IBM has unparalleled expertise in designing and implementing workload optimized systems and services. On top of that infrastructure, there is also the need to ensure that you can bring all of those sources of information together to create a single, trusted view of information from across your business – regardless of whether that information is structured or unstructured – and then manage it over time. From data warehousing, Master Data Management, information integration, and Agile ECM and integrated data management, IBM’s InfoSphere portfolio ensures that organizations will be able to leverage their information over time to drive innovation across their business. And armed with this single-view of your business, you can then look to optimize business processes and drive greater performance across your organization. Decision makers will have the right information, at the right time, in the right context to make better, more informed decisions, and even anticipate new opportunities or counter potential threats more effectively. The Business Analytics and Optimization Platform supports and information-led transformation in that it focuses on establishing well-constructed processes and empowering individuals throughout the organization with pervasive, predictive real-time analytics . From Cognos and the newly acquired SPSS portfolios, organizations can now be more pro-active and predictive in innovating their business.
  58. http://www.geodigital.com/ http://www.profsurv.com/magazine/article.aspx?i=70599 Mobile Mapping article http://www.gim-international.com/issues/articles/id1306-Mapping_with_Mobile_Lidar.html http://www.lidarnews.com/PDF/LiDARMagazine_Richardson-PreservingThePast_Vol2No5.pdf http://www.lidarnews.com/content/view/9228/198/ Coordinates and Building Info Mgmt article