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Cloud Computing:
 Is it really new?
         By
 Kevin L. Jackson, Engineering Fellow
              NJVC, LLC

            Presented to:
  Association for Computing Machinery
        Washington DC Chapter
           September 27, 2010
Cloud Computing
 Not a technology but a new way of provisioning and
  consuming information technology
 A SOA implemented with a virtualized infrastructure
  (compute, storage, networks) enables cloud computing
              Key Benefits                  Key Concerns
       Significant cost reductions      Standards
       Reduced time to capability       Portability
       Increased flexibility            Control/Availability
       Elastic scalability              Security
       Increase service quality         IT Policy
       Increased security               Management / Monitoring
       Ease of technology refresh       Ecosystem
       Ease of collaboration
       Increased efficiency
Cloud Computing Components
   Infrastructure-as-a-Service
        Virtualization
        Compute
        Storage
        Network
   Platform-as-a-Service
      Services to develop, test, deploy, host and maintain applications in the same
       integrated development environment
   Software-as-a-Service
      Network-based access to, and management of, software applications
      Activities managed from central locations rather than at each site, enabling
       customers to access applications remotely v
      Application delivery typically a one-to-many model (single instance, multi-tennant
       architecture) than to a one-to-one model
The New IT Era




 IDC September 2008
                                            slid
                      rev date 10/11/2010    e4
Non-Scalable Applications Are Expensive and Risky
           Non-scalable applications suffer from diminishing returns on added resources
           As the business grows, per transaction costs INCREASE
           At some point the application will hit a wall, leading to:
                               Application crashes (and potential disaster for the business – at huge cost)
                               Expensive process of re-architecting the application every few months/years




                                                     Non-Linear Scalability (15% Contention)


                          $1,200,000

                          $1,000,000                                                                                            Server cost:
                                                                                                                                $20,000
    Total Solution Cost




                              $800,000

                                                                                                                                Single server throughput:
                              $600,000                                                              The Scalability
                                                                                                                                1,000 tx/sec
                              $400,000                                                                  Wall
                                                                                                                                Contention:
                              $200,000
                                                                                                                                15%
                                   $0
                                          1,000   2,000   3,000     4,000   5,000   6,000   7,000      8,000   9,000   10,000
                                                                  Required Throughput (e.g., Tx/Sec)
The Goal: Linear Scalability On Demand
    No diminishing returns on scale
    No code changes when scaling
    Drop in another box and increase capacity linearly


    $1,200,000


    $1,000,000


     $800,000


     $600,000


     $400,000


     $200,000


           $0
                 1,000  2,000
                             2,000 3,000 5,000 6,000
                                3,000 4,000
                     1,000 tx/sec tx/sec tx/sec tx/sec
                                            4,000                  7,000    8,000   9,000      10,000

                             Linear Scalability      Non-Linear Scalability (15% Contention)
Cloud Computing Value
        140

        120

        100
OPEX                                                               Cost
         80

         60
                                                                   Capability            Traditional
                                                                   Demand
         40

CAPEX    20

          0
              1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20


        140

        120

        100

         80                                                        Cost (20% premium)

         60
                                                                   Capability                    Cloud
                                                                   Demand
 OPEX    40

         20

          0
              1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20



                                                                                        Courtesy The Open Group
Economic Benefit   (Booz Allen Hamilton, October 2009)
Speed of Cost Reduction, Cost of Change




                               Courtesy The Open Group
Optimizing Ownership Use




                           Courtesy The Open Group
Optimizing Time to Deliver Capability




                             Courtesy The Open Group
Value and Capabilities
   Time
      Reduce time to deliver/execute mission
      Increased responsiveness/flexibility/availability
   Cost
      Optimizing cost to deliver/execute mission
      Optimizing cost of ownership (lifecycle cost)
      Increased efficiencies in capital/operational expenditures
   Quality
      Environmental improvements
      Experiential improvements
Cloud Computing Futures
 Services Integration/Cloud Brokers
 Cloud Measurement/Evaluation Services
 Relational Database Concerns
 Parallel Processing
 Bucket/Big Object Storage
 Compute Mobility vs. Data Mobility
Conclusion
 Cloud   computing delivers real value
 Important shift in the consumption and delivery of
  information technology
 Shift from system integration to service integration
 Shift from infrastructure-centric to data-centric
  computing (and security)
 Driven by societal change
Thank You !
Kevin L. Jackson
Director, Business Development
Dataline, LLC
(703) 335-0830
Kevin.jackson@dataline.com
http://cloudcomputing.dataline.com
http://govcloud.ulitzer.com

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Cloud Computing: Is it really new?

  • 1. Cloud Computing: Is it really new? By Kevin L. Jackson, Engineering Fellow NJVC, LLC Presented to: Association for Computing Machinery Washington DC Chapter September 27, 2010
  • 2. Cloud Computing  Not a technology but a new way of provisioning and consuming information technology  A SOA implemented with a virtualized infrastructure (compute, storage, networks) enables cloud computing Key Benefits Key Concerns  Significant cost reductions  Standards  Reduced time to capability  Portability  Increased flexibility  Control/Availability  Elastic scalability  Security  Increase service quality  IT Policy  Increased security  Management / Monitoring  Ease of technology refresh  Ecosystem  Ease of collaboration  Increased efficiency
  • 3. Cloud Computing Components  Infrastructure-as-a-Service  Virtualization  Compute  Storage  Network  Platform-as-a-Service  Services to develop, test, deploy, host and maintain applications in the same integrated development environment  Software-as-a-Service  Network-based access to, and management of, software applications  Activities managed from central locations rather than at each site, enabling customers to access applications remotely v  Application delivery typically a one-to-many model (single instance, multi-tennant architecture) than to a one-to-one model
  • 4. The New IT Era IDC September 2008 slid rev date 10/11/2010 e4
  • 5. Non-Scalable Applications Are Expensive and Risky  Non-scalable applications suffer from diminishing returns on added resources  As the business grows, per transaction costs INCREASE  At some point the application will hit a wall, leading to:  Application crashes (and potential disaster for the business – at huge cost)  Expensive process of re-architecting the application every few months/years Non-Linear Scalability (15% Contention) $1,200,000 $1,000,000 Server cost: $20,000 Total Solution Cost $800,000 Single server throughput: $600,000 The Scalability 1,000 tx/sec $400,000 Wall Contention: $200,000 15% $0 1,000 2,000 3,000 4,000 5,000 6,000 7,000 8,000 9,000 10,000 Required Throughput (e.g., Tx/Sec)
  • 6. The Goal: Linear Scalability On Demand  No diminishing returns on scale  No code changes when scaling  Drop in another box and increase capacity linearly $1,200,000 $1,000,000 $800,000 $600,000 $400,000 $200,000 $0 1,000 2,000 2,000 3,000 5,000 6,000 3,000 4,000 1,000 tx/sec tx/sec tx/sec tx/sec 4,000 7,000 8,000 9,000 10,000 Linear Scalability Non-Linear Scalability (15% Contention)
  • 7. Cloud Computing Value 140 120 100 OPEX Cost 80 60 Capability Traditional Demand 40 CAPEX 20 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 140 120 100 80 Cost (20% premium) 60 Capability Cloud Demand OPEX 40 20 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Courtesy The Open Group
  • 8. Economic Benefit (Booz Allen Hamilton, October 2009)
  • 9. Speed of Cost Reduction, Cost of Change Courtesy The Open Group
  • 10. Optimizing Ownership Use Courtesy The Open Group
  • 11. Optimizing Time to Deliver Capability Courtesy The Open Group
  • 12. Value and Capabilities  Time  Reduce time to deliver/execute mission  Increased responsiveness/flexibility/availability  Cost  Optimizing cost to deliver/execute mission  Optimizing cost of ownership (lifecycle cost)  Increased efficiencies in capital/operational expenditures  Quality  Environmental improvements  Experiential improvements
  • 13. Cloud Computing Futures  Services Integration/Cloud Brokers  Cloud Measurement/Evaluation Services  Relational Database Concerns  Parallel Processing  Bucket/Big Object Storage  Compute Mobility vs. Data Mobility
  • 14. Conclusion  Cloud computing delivers real value  Important shift in the consumption and delivery of information technology  Shift from system integration to service integration  Shift from infrastructure-centric to data-centric computing (and security)  Driven by societal change
  • 15. Thank You ! Kevin L. Jackson Director, Business Development Dataline, LLC (703) 335-0830 Kevin.jackson@dataline.com http://cloudcomputing.dataline.com http://govcloud.ulitzer.com