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RIDE WITH HITACHI DATA SYSTEMS:
FAST TRACK YOUR BIG DATA JOURNEY

2013 TOP 10 TRENDS
HUBERT YOSHIDA
VP & CTO, HITACHI DATA SYSTEMS
WHAT OUR CUSTOMERS ARE FACING
THE DATA MULTIPLIER EFFECT

ALL DATA TYPES      MACHINE DRIVEN


            HUMAN DRIVEN
                                       SATELLITE
                                        IMAGES


                            EMAIL
                                                              1. Volume
 BUSINESS DRIVEN                                SENSORS
                                                              2. Velocity
                                                              DATA
                          BIG DATA
                 BIG DATA DOCUMENTS                           LANDSCAPE
                  TODAY TOMORROW    BIO-                      3. Variety
                                                              EVOLUTION
                                                INFORMATICS
                   OLTP

                            WEB LOGS                          4. Value
                                                   M2M LOG
                                                    FILES
                           SOCIAL


                                               VIDEO


                                       AUDIO
           1X               10X                                 100X

       I.T. MUST MANAGE, GOVERN AND ANALYZE MORE DATA
 WITH MORE COMPLEX RELATIONSHIPS … IN REAL TIME … AT SCALE
DRAMATIC
CHANGES IN OPEX
AND CAPEX
STORAGE VIRTUALIZATION REDUCES TCO


Real cost savings: 20 to 50% reduction in storage spend
 Save 20 to 40% in operational costs

 Pay back in less than a year with zero page reclaim

 Higher utilization of existing storage assets

 CAPEX becomes a higher percentage of cost

                                            Adobe TCO/TB/Year - San Jose Only                          Cost of Disaster Risk
                                          Blended Rate for all Tiers, Block and File                   DR Infrastructure
                           12.00
                                                                                                       SRM (Tools, labor)
                                                                                                       Floor space
                           10.00
                                                                                                       Power, cooling
 TCO/TB/Year (thousands)




                                                                                                       Data migration, remastering
                            8.00
                                                                                                       Storage Management, Labor
                                                                                                       Software Maintenance
                            6.00
                                                                                                       SAN HW Maintenance
                                                                                                       Storage HW Maintenance
                            4.00                                                                       Software purchase or depreciation
                                                                                                       Storage File Servers
                            2.00                                                                       Storage circuits (DR, dark fibre)
                                                                                                       SAN HW depreciation

                            0.00                                                                       Storage Waste

                                   2007         2008          2009           2010      2011P   2011V   Storage HW Depreciation
NEW CONSUMPTION
MODELS
WAVE 3 ACQUISITION CYCLES


Business Unit/                                                      IT
Client Demand                                                    Resources

                 3 Year Acquisition cycle
                 Buy next 3 year’s resources
                 at today’s costs




     Time

                                   Peak demand for IT resources
                                   Average demand for IT Resources
ACQUISITION CYCLE VERSUS CLOUD


Business Unit/                                                        IT
Client Demand                                                      Resources
                                          Cloud Acquisition




                 3 Year Acquisition
                                         Enabling Technologies
                                         Dynamic Provisioning
                                         Non disruptive Migration
                                         Virtualization to extend assets




     Time
              25% PERCENT OF CUSTOMERS’ INFRASTRUCTURE
            PURCHASES WILL BE BASED demand for UNIT CHARGE BY
                                Peak ON A PER IT resources
                                 – GARTNER
                            2013Average demand for IT Resources
MANAGING THE
EXPLOSION OF
DATA REPLICATION
DATA COPIES ARE GROWING AT AN
   INCREASING RATE



The Storage Explosion

        Copies of data is magnifying the
                                                                                                         ---Analytics
         explosion of data
                                                                                                         ---Test Dev
        2013: Total cost of managing copy
         data passes that of production data                                                             ---BC/DR

                                                                                                         ---Snapshots

                                                                                                         ---Backup

                                                                                                         ---Production




Source: Laura Dubois IDC http://www.actifio.com/wp-content/uploads/2012/07/IDC-Analyst-Connection.pdf July 2012
TOOLS FOR CONTROLLING COPIES

  Eliminate copies
   ‒ Eliminate backup of static data with active archives
   ‒ Store data in an object or content store which can be accessed by
     multiple applications
   ‒ Replace attachments with links – SharePoint, the Loop
   ‒ In memory or inline analytics to eliminate the need for offline
     copies
   ‒ Data Life Cycle management tools to track and delete copies
   ‒ Consolidate, backup, DR, replication, CDP, archive

  Reduce the capacity of copies
   ‒ Thin provisioning
   ‒ Copy on write and virtual thin copies
   ‒ Deduplication and compression
ENTERPRISE FLASH
CONTROLLERS
LIMITATIONS OF CURRENT SSD
CONTROLLER ARCHITECTURE


DESIGNED FOR HIGH VOLUME MARKET- NOT ENTERPRISE STORAGE
 Single core                    Units (M)
                                                  Entry-Level PC
 Limited memory                     200
                                                  Mainstream PC

                                     160          Enterprise Server
 Mapping table resident in
                                                  Enterprise Storage
  flash                              120
                                                  Industrial                     2012
 Bandwidth limits capacity           80

                                      40
 Write performance limited by
  number of pages per block             0
  and garbage collection                       2011     2012       2013   2014     2015    2016

                                             Source: Gartner June, 2012
 Limited system integration                 “Forecast Analysis: NAND, Worldwide, 2011-2016,
  options                                    2Q12 Update”
HITACHI ACCELERATED FLASH STORAGE
COSTS

NORMALIZED BIT PRICE COMPARED RELATIVE TO 146GB 15K RPM HDD




         Extended endurance without restrictions
ENTRY ENTERPRISE
STORAGE SYSTEMS
X86 VIRTUAL SERVERS TRANSITIONING TO
TIER 1 APPLICATIONS

 Requires tier 1 Enterprise Storage
                                              Customer
  ‒ More eggs in one basket                   Requirement

  ‒ Workload scales up with more VMs
                                              Integrated
  ‒ More Random I/O’s                         Storage
                                              Virtualization
 Requires clustering and replication
                                              Integrated
  ‒ Site recovery as well as load balance     Management


  ‒ Hitachi Metro Cluster and HAM

 Migration of Midrange Modular storage
  systems to Enterprise Tier 1 storage
  ‒ Minimize Migration outage to VMs

  ‒ Leverage existing assets

 Migration of Tier 1 Unix to x86 LINUX
  ‒ Hitachi certification with Red Hat RHEL
    and RHEV
INTRODUCING HUS VM – ENTRY
ENTERPRISE

 HUS VM is a new storage system that
  combines                                                       VSP

  the best attributes of our existing VSP and HUS
  100 products, into a new product designed for            Tier 1 Enterprise

  the Entry Enterprise market
  ‒ Design attributes from the VSP:
     ‒ Robust microcode base with enterprise features          HUS VM
       for open systems
     ‒ Internal Switch architecture with global cache         Entry Level
                                                              Enterprise
  ‒ Design attributes from the HUS 150:
     ‒ Modularized form factor, installable in any
       standard 19” rack (using Hitachi supplied rails).
     ‒ Disks and Disk Trays are common at the                  HUS 100
       hardware level (firmware installed on disk
       trays is unique to each platform)
     ‒ Improved hardware ergonomics and software           Tier 2 Midrange

       usability
OBJECT BASED
     FILE SYSTEMS



17             © Hitachi Data Systems Corporation 2012. All Rights Reserved.
HARDWARE ACCELERATED OBJECT FILE
  SYSTEM




 Object based filesystem scales farther    Dedicated cache for each major function
  than the competition                      Predictable performance, better scalability
 16MM objects per directory                 to system limits
 Up to 8PB USABLE capacity                 Metadata and sector cache reduce the I/O
 Faster file/directory lookup access        to disk, improving performance
CONTENT
PLATFORMS FOR
ARCHIVE AND DATA
SHARING
THE NEXT STEP – CONTENT
VIRTUALIZATION




                 App A   App B   App C   App D

    Server
Virtualization

   Content
Virtualization




   Storage
Virtualization
CONTENT CLOUD PLATFORM




                            E-mail Archive Document     File System   Home Grown        PACS
                            Software       management                 Application




   Supporting multiple applications simultaneously
    ‒   Multi tenancy
   Common archive functions across content types
    ‒   Data and metadata ingest                                                         Result Set
    ‒   Authentication and policies
   Common Search
    ‒   All content in the archive                                                  •      Scale up to 80 Nodes
    ‒   File Attribute, Meta data, bit map                                          •      SAN attach storage
   High performance scalability
                                                                                    •      40 PB of Storage
   Single Instance store
   Encryption of data at rest                                                      •      32 Billion Objects
HARDWARE ASSIST
STORAGE
CONTROLLERS
MORE FUNCTIONS ARE PUSHED INTO THE
STORAGE

 Applications are offloading more work to storage
  –   Vmware API’s
                                                              Application
  –   Microsoft adapters and providers
                                                                Database
  –   Data base plugins
                                                                   OS
 Storage is required to provide more functions
                                                              HBA Driver
  –   Dynamic tiering
  –   1024 snapshots
  –   Non Disruptive migration
  –   Load balancing and QoS

 Interfaces are demanding faster throughput and
  response times
  –   6 Gbps Drives, 8 Gbps FC, 10 Gbps Ethernet
  –   Flash drives
  –   Million IOPs                                             EFD/Flash

                                                     Last Referenced 1
                                                                SAS
                                                                TIER
 Storage must scale to meet big data demands
                                                     Last Referenced 2
                                                                SATA
                                                                TIER
  –   Hundreds of applications
  –   Thousands of clients
  –   PB of capacities
  –   Billions of objects
VSP – HARDWARE ASSIST CONTROLLER
  ARCHITECTURE




 Multi-Core Processors for software functions - VSD
 Hardware assist ASICs for scalable performance – FED, BED
 Scale up with modular processor cores and ASIC blades
HITACHI NAS PLATFORM WITH HARDWARE
        ASSIST FPGAS




                                                                                 HNAS 3200
Price




                                                             HNAS 3100
                                                                                       8-Node
                                                                                180K2 IOPS per Node
                                        HNAS 3090                                  16PB Capacity
                                                                 8-Node
                                                            96K2IOPS per Node
                   HNAS 3080                                  8PB Capacity
                                             4-Node
                                       73K1 IOPS per Node
                                         8PB Capacity
                        2-Node
                 40K1  IOPS per Node
                     4PB Capacity


                                       Performance & Scalability
        Notes: 1 Based on SPECsfs_2008 NFS Benchmark
               2 Based on SPECsfs_97 Benchmark.
ADOPTION OF
MOBILE DEVICES
ADOPTION OF MOBILE DEVICES

   “And we use these (mobile) devices interchangeably, depending on our
   situation....... While this abundance causes disruption, it also creates amazing
   opportunity.” Larry Page Oct 12

  ALLOW YOUR EMPLOYEES TO ACCESS DATA AND COLLABORATE

  onCompany Benefits: Productivity, Direct customer interaction ,ANY where
    ANY device                                              from Lower
       costs
 Corporate
       Employee Benefits; choice of devices, apps, combine personal and
 Equipment
       work life
       Transformation Benefit: Employee driven innovation
       Challenges: Security and IT support, corporate network,Inside your offices
                                                               privacy,
       device protection, encryption
Bring Your Own Devices
(BYOD)                                                               Cisco IBSG Survey
                                            Securely
         According to the iPass 2010 Mobile Workforce Report, employees
         with mobile devices work an extra 240 hours per year, that equates
         to an extra 6 weeks of work per year, per employee. Securely via public internet,
                                                                            while on the go
CONVERGED
SOLUTIONS
INFRASTRUCTURE DEPLOYMENT
   CHALLENGES
IT Infrastructure                                              IT Development

                                                     Plan


                                    Support                        Buy




                                 Deploy                            Integrate




                                              Test          Code

                              Too many handoffs     Too many tools
                              Too many vendors      Too much time
                                         Costs too much
                    “IT organizations spend 23.3% of staff time and
                    resources on this type of pre-system deployment…”
WHAT CUSTOMERS WANT WITH
CONVERGED SOLUTIONS



                 One purchase order
  Converged
Infrastructure
                    One solution stack


                      One management software for all


                      One-source support


                    99.999% availability and 100% warranty


                 Deployment in as little as 2 days
2013 TOP 10 TRENDS

1. Dramatic Changes in OPEX and CAPEX
2. New Consumption Models
3. Managing the Explosion of Data Replication
4. The Emergence of Enterprise Flash Controllers
5. New Requirements for Entry Enterprise Storage Systems
6. The Need for Object-Based File Systems
7. Accelerating Use of Content Platforms for Data Archives and
   Data Sharing
8. Hardware Assist Controllers to Satisfy Increasingly Complex
   Workloads
9. Creating a Secure Platform for the Adoption of Mobile Devices
10. More Tightly Integrated Converged Solutions
QUESTIONS AND
DISCUSSION
THANK YOU

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2013 storage prediction hds hong kong

  • 1. RIDE WITH HITACHI DATA SYSTEMS: FAST TRACK YOUR BIG DATA JOURNEY 2013 TOP 10 TRENDS HUBERT YOSHIDA VP & CTO, HITACHI DATA SYSTEMS
  • 2. WHAT OUR CUSTOMERS ARE FACING THE DATA MULTIPLIER EFFECT ALL DATA TYPES MACHINE DRIVEN HUMAN DRIVEN SATELLITE IMAGES EMAIL 1. Volume BUSINESS DRIVEN SENSORS 2. Velocity DATA BIG DATA BIG DATA DOCUMENTS LANDSCAPE TODAY TOMORROW BIO- 3. Variety EVOLUTION INFORMATICS OLTP WEB LOGS 4. Value M2M LOG FILES SOCIAL VIDEO AUDIO 1X 10X 100X I.T. MUST MANAGE, GOVERN AND ANALYZE MORE DATA WITH MORE COMPLEX RELATIONSHIPS … IN REAL TIME … AT SCALE
  • 4. STORAGE VIRTUALIZATION REDUCES TCO Real cost savings: 20 to 50% reduction in storage spend  Save 20 to 40% in operational costs  Pay back in less than a year with zero page reclaim  Higher utilization of existing storage assets  CAPEX becomes a higher percentage of cost Adobe TCO/TB/Year - San Jose Only Cost of Disaster Risk Blended Rate for all Tiers, Block and File DR Infrastructure 12.00 SRM (Tools, labor) Floor space 10.00 Power, cooling TCO/TB/Year (thousands) Data migration, remastering 8.00 Storage Management, Labor Software Maintenance 6.00 SAN HW Maintenance Storage HW Maintenance 4.00 Software purchase or depreciation Storage File Servers 2.00 Storage circuits (DR, dark fibre) SAN HW depreciation 0.00 Storage Waste 2007 2008 2009 2010 2011P 2011V Storage HW Depreciation
  • 6. WAVE 3 ACQUISITION CYCLES Business Unit/ IT Client Demand Resources 3 Year Acquisition cycle Buy next 3 year’s resources at today’s costs Time Peak demand for IT resources Average demand for IT Resources
  • 7. ACQUISITION CYCLE VERSUS CLOUD Business Unit/ IT Client Demand Resources Cloud Acquisition 3 Year Acquisition Enabling Technologies Dynamic Provisioning Non disruptive Migration Virtualization to extend assets Time 25% PERCENT OF CUSTOMERS’ INFRASTRUCTURE PURCHASES WILL BE BASED demand for UNIT CHARGE BY Peak ON A PER IT resources – GARTNER 2013Average demand for IT Resources
  • 9. DATA COPIES ARE GROWING AT AN INCREASING RATE The Storage Explosion  Copies of data is magnifying the ---Analytics explosion of data ---Test Dev  2013: Total cost of managing copy data passes that of production data ---BC/DR ---Snapshots ---Backup ---Production Source: Laura Dubois IDC http://www.actifio.com/wp-content/uploads/2012/07/IDC-Analyst-Connection.pdf July 2012
  • 10. TOOLS FOR CONTROLLING COPIES  Eliminate copies ‒ Eliminate backup of static data with active archives ‒ Store data in an object or content store which can be accessed by multiple applications ‒ Replace attachments with links – SharePoint, the Loop ‒ In memory or inline analytics to eliminate the need for offline copies ‒ Data Life Cycle management tools to track and delete copies ‒ Consolidate, backup, DR, replication, CDP, archive  Reduce the capacity of copies ‒ Thin provisioning ‒ Copy on write and virtual thin copies ‒ Deduplication and compression
  • 12. LIMITATIONS OF CURRENT SSD CONTROLLER ARCHITECTURE DESIGNED FOR HIGH VOLUME MARKET- NOT ENTERPRISE STORAGE  Single core Units (M) Entry-Level PC  Limited memory 200 Mainstream PC 160 Enterprise Server  Mapping table resident in Enterprise Storage flash 120 Industrial 2012  Bandwidth limits capacity 80 40  Write performance limited by number of pages per block 0 and garbage collection 2011 2012 2013 2014 2015 2016 Source: Gartner June, 2012  Limited system integration “Forecast Analysis: NAND, Worldwide, 2011-2016, options 2Q12 Update”
  • 13. HITACHI ACCELERATED FLASH STORAGE COSTS NORMALIZED BIT PRICE COMPARED RELATIVE TO 146GB 15K RPM HDD Extended endurance without restrictions
  • 15. X86 VIRTUAL SERVERS TRANSITIONING TO TIER 1 APPLICATIONS  Requires tier 1 Enterprise Storage Customer ‒ More eggs in one basket Requirement ‒ Workload scales up with more VMs Integrated ‒ More Random I/O’s Storage Virtualization  Requires clustering and replication Integrated ‒ Site recovery as well as load balance Management ‒ Hitachi Metro Cluster and HAM  Migration of Midrange Modular storage systems to Enterprise Tier 1 storage ‒ Minimize Migration outage to VMs ‒ Leverage existing assets  Migration of Tier 1 Unix to x86 LINUX ‒ Hitachi certification with Red Hat RHEL and RHEV
  • 16. INTRODUCING HUS VM – ENTRY ENTERPRISE  HUS VM is a new storage system that combines VSP the best attributes of our existing VSP and HUS 100 products, into a new product designed for Tier 1 Enterprise the Entry Enterprise market ‒ Design attributes from the VSP: ‒ Robust microcode base with enterprise features HUS VM for open systems ‒ Internal Switch architecture with global cache Entry Level Enterprise ‒ Design attributes from the HUS 150: ‒ Modularized form factor, installable in any standard 19” rack (using Hitachi supplied rails). ‒ Disks and Disk Trays are common at the HUS 100 hardware level (firmware installed on disk trays is unique to each platform) ‒ Improved hardware ergonomics and software Tier 2 Midrange usability
  • 17. OBJECT BASED FILE SYSTEMS 17 © Hitachi Data Systems Corporation 2012. All Rights Reserved.
  • 18. HARDWARE ACCELERATED OBJECT FILE SYSTEM  Object based filesystem scales farther  Dedicated cache for each major function than the competition  Predictable performance, better scalability  16MM objects per directory to system limits  Up to 8PB USABLE capacity  Metadata and sector cache reduce the I/O  Faster file/directory lookup access to disk, improving performance
  • 20. THE NEXT STEP – CONTENT VIRTUALIZATION App A App B App C App D Server Virtualization Content Virtualization Storage Virtualization
  • 21. CONTENT CLOUD PLATFORM E-mail Archive Document File System Home Grown PACS Software management Application  Supporting multiple applications simultaneously ‒ Multi tenancy  Common archive functions across content types ‒ Data and metadata ingest Result Set ‒ Authentication and policies  Common Search ‒ All content in the archive • Scale up to 80 Nodes ‒ File Attribute, Meta data, bit map • SAN attach storage  High performance scalability • 40 PB of Storage  Single Instance store  Encryption of data at rest • 32 Billion Objects
  • 23. MORE FUNCTIONS ARE PUSHED INTO THE STORAGE  Applications are offloading more work to storage – Vmware API’s Application – Microsoft adapters and providers Database – Data base plugins OS  Storage is required to provide more functions HBA Driver – Dynamic tiering – 1024 snapshots – Non Disruptive migration – Load balancing and QoS  Interfaces are demanding faster throughput and response times – 6 Gbps Drives, 8 Gbps FC, 10 Gbps Ethernet – Flash drives – Million IOPs EFD/Flash Last Referenced 1 SAS TIER  Storage must scale to meet big data demands Last Referenced 2 SATA TIER – Hundreds of applications – Thousands of clients – PB of capacities – Billions of objects
  • 24. VSP – HARDWARE ASSIST CONTROLLER ARCHITECTURE  Multi-Core Processors for software functions - VSD  Hardware assist ASICs for scalable performance – FED, BED  Scale up with modular processor cores and ASIC blades
  • 25. HITACHI NAS PLATFORM WITH HARDWARE ASSIST FPGAS HNAS 3200 Price HNAS 3100 8-Node 180K2 IOPS per Node HNAS 3090 16PB Capacity 8-Node 96K2IOPS per Node HNAS 3080 8PB Capacity 4-Node 73K1 IOPS per Node 8PB Capacity 2-Node 40K1 IOPS per Node 4PB Capacity Performance & Scalability Notes: 1 Based on SPECsfs_2008 NFS Benchmark 2 Based on SPECsfs_97 Benchmark.
  • 27. ADOPTION OF MOBILE DEVICES “And we use these (mobile) devices interchangeably, depending on our situation....... While this abundance causes disruption, it also creates amazing opportunity.” Larry Page Oct 12 ALLOW YOUR EMPLOYEES TO ACCESS DATA AND COLLABORATE onCompany Benefits: Productivity, Direct customer interaction ,ANY where ANY device from Lower costs Corporate Employee Benefits; choice of devices, apps, combine personal and Equipment work life Transformation Benefit: Employee driven innovation Challenges: Security and IT support, corporate network,Inside your offices privacy, device protection, encryption Bring Your Own Devices (BYOD) Cisco IBSG Survey Securely According to the iPass 2010 Mobile Workforce Report, employees with mobile devices work an extra 240 hours per year, that equates to an extra 6 weeks of work per year, per employee. Securely via public internet, while on the go
  • 29. INFRASTRUCTURE DEPLOYMENT CHALLENGES IT Infrastructure IT Development Plan Support Buy Deploy Integrate Test Code Too many handoffs Too many tools Too many vendors Too much time Costs too much “IT organizations spend 23.3% of staff time and resources on this type of pre-system deployment…”
  • 30. WHAT CUSTOMERS WANT WITH CONVERGED SOLUTIONS One purchase order Converged Infrastructure One solution stack One management software for all One-source support 99.999% availability and 100% warranty Deployment in as little as 2 days
  • 31. 2013 TOP 10 TRENDS 1. Dramatic Changes in OPEX and CAPEX 2. New Consumption Models 3. Managing the Explosion of Data Replication 4. The Emergence of Enterprise Flash Controllers 5. New Requirements for Entry Enterprise Storage Systems 6. The Need for Object-Based File Systems 7. Accelerating Use of Content Platforms for Data Archives and Data Sharing 8. Hardware Assist Controllers to Satisfy Increasingly Complex Workloads 9. Creating a Secure Platform for the Adoption of Mobile Devices 10. More Tightly Integrated Converged Solutions