Cloudradar - Frank van der Wal - IBM

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  • 1. Smarter Planet
    Frank van der WalIT Architectthewall@nl.ibm.com
  • 2.
  • 3.
  • 4.
  • 5. 42
  • 6. Organizations
  • 7. Software / algorithms
  • 8. Data
    Query #1
    Query #2
    Query #3
    New approaches are needed...
  • 9. Query
    Data #1
    Data #2
    Data #3
    New approaches are needed...
  • 10. Exa
    Peta
    Telco Promotions
    100,000 records/sec, 6B/day
    10 ms/decision
    270TB for Deep Analytics
    Tera
    Giga
    DeepQA
    100s GB for Deep Analytics
    3 sec/decision
    Mega
    yr

    µs
    mo
    wk
    day
    hr
    min
    sec
    ms
    Smart Traffic
    250K GPS probes/sec
    630K segments/sec
    2 ms/decision, 4K vehicles
    Kilo
    Real-time
    Occasional
    Frequent
    Up to 10000 Times larger
    Data at Rest
    Data Scale
    Traditional Data Warehouse and Business Intelligence
    Data in Motion
    Up to 10000 times faster
    Decision Frequency
    New “Big Data” Requires New Analytics
  • 11. Exa
    Peta
    Tera
    Giga
    Mega
    yr

    µs
    mo
    wk
    day
    hr
    min
    sec
    ms
    Kilo
    Real-time
    Occasional
    Frequent
    Data Scale
    Decision Frequency
    New “Big Data” Requires New Analytics
    Deep
    Integration
    Fast
    Integration
  • 12. Big Data is Too Costly to Move, so Analytics Must Stay Near Data
    The Transmission Gap
    CPU Cycle6 - 27 picocents
    1 bit storage/year6 picocents
    10x to 50x
    cheaper
    CPU Cycle
    0.58 picocents
    1 bit network transfer
    800 - 6000 picocents
    1 bit storage/year
    5.3 - 6 picocents
    ~equal
    100x to 1000x
    more costly!
    Site-based
    Cloud-based
    Adapted from: RaduSion, Stony Brook University, 2009
    For large enterprises and governments this implies dedicated systems,not just clouds
  • 13. Infrastructure
    Dynamic
    Improve Service
    Reduce Cost
    Manage Risk
  • 14. Cloud computing is not virtualization
    Standardizeand automate
    • Standardize services
    • 15. Reduce deployment cycles
    • 16. Enable scalability
    • 17. Flexible delivery
    Virtualize
    • Remove physical resource boundaries
    • 18. Increase hardware utilization
    • 19. Reduce hardware costs
    • 20. Simplify deployments
    Consolidate
    • Reduce infrastructure complexity
    • 21. Reduce staffing requirements
    • 22. Manage fewer things better
    • 23. Lower operational costs
    • 24. Self service
    • 25. Pay per use
  • Virtualization x86
  • 26. SANVolume Controller
    SANVolume Controller
    HPMA, EMAMSA, EVAXPEVA 4100, 6100, 8100
    EMCCLARiiONSymmetrix
    SunStorageTek
    IBM DS
    DS4000DS6000DS8000
    IBMESS,FAStT
    IBMN series
    NetAppFAS
    BullStoreWay
    FujitsuEternus
    NECiStorage
    HitachiLightningThunderTagmaStoreAMS, WMS
    SAN Volume Controller Version 4.2.1 Supported Environments
    Linux(Intel/Power/zLinux)RHEL/SUSERHEL 5 ia32, x64RHEL 3 PowerSLES 9 ia64
    IBMBladeCenter
    Win/Linux/VMWare/AIXOPM/FCS/IBS
    IBM AIX V6HACMP 5.4/XDGPFS / VIOOracleRAC10g
    SunSolarisVCS/SUN clustering
    1024Hosts
    VMware
    3.0.2
    Win / NW
    guests
    HP-UX 11iTru64OpenVMSServiceGuardwith SDD
    MicrosoftMSCSMPIO, VSS, GDS
    x64, ia64
    Novell
    NetWare
    Clustering
    SGI IRIX
    Cisco
    McData
    Brocade
    New
    New
    iSCSI to hostsVia Cisco IPS
    SAN with 4Gbps fabric
    SAN
    Point-in-time CopyFull volume, Copy on writeMultiple targets, Incremental, Cascaded
    Continuous CopyMetro MirrorGlobal Mirror
    Up to 8PB capacity
    For the most current, and more detailed, information please visit ibm.com/storage/svc and click on “Interoperability”.
  • 27. Security
  • 28. Security is what you make of it, cloud or no cloud.
    Today’s Datacenter
    Tomorrow’s Public Cloud
  • 29. ISDM - Integrated Service Management for Clouds
    For Locating and Requesting Services
    Secure User Centric Self-Service Portal, Automation Engine and Catalog
    Managing Cloud Services
    Deploying Cloud Services
    Automated Provisioning and Image Management
    Monitoring and Metering
  • 30. IBM Cloud Computing Strategy
    Build
    Design
    Deliver
    Smart Expense Reporting
    Business
    Processes
    Smart Dev & Test Cloud
    Lotus Live
    Collaboration
    Development & Test
    Desktop & Devices
    Analytics
    Smart Analytics Cloud
    Desktop Cloud
    Infrastructure
    Storage
    Infrastructure
    Compute
    Consumers
    Providers
    Computing on Demand
    Smart Storage Cloud
  • 31. Wrap-up
    Smarter Planet
    Organizational changes
    Software / Algorithms
    Dynamic Infrastructure