Open Cloud Consortium Overview (01-10-10 V6)

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Open Cloud Consortium Overview (01-10-10 V6)

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This is a brief overview of the Open Cloud Consortium.

This is a brief overview of the Open Cloud Consortium.

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  • 1. www.opencloudconsortium.org
    Open Cloud Consortium: An Update
    Robert GrossmanOpen Cloud Consortium
    January 10, 2010
  • 2. Part 1. Overview of theOpen Cloud Consortium (OCC)
    www.opencloudconsortium.org
    2
  • 3. 501(3)(c) Not-for-profit corporation
    Supports the development of standards, interoperability frameworks, and reference implementations.
    Manages testbeds: Open Cloud Testbed and Intercloud Testbed.
    Manages cloud computing infrastructure to support scientific research: Open Science Data Cloud.
    Develops benchmarks.
    3
    www.opencloudconsortium.org
  • 4. OCC Members
    Companies: Aerospace, Booz Allen Hamilton, Cisco, InfoBlox, Open Data Group, Raytheon, Yahoo
    Universities: CalIT2, Johns Hopkins, MIT Lincoln Lab, Northwestern Univ., University of Illinois at Chicago, University of Chicago
    Government agencies: NASA
    Open Source Projects: Sector Project
    4
  • 5. OCC Working Groups
    Large Data Cloud Working Group
    Open Cloud Testbed Working Group.
    Intercloud Testbed Working Group
    Open Science Data Cloud Working Group
  • 6. Applications
    Apps
    Compute Services
    Data Services
    IF-MAP (Metadata) Services
    PaaS
    Storage Services
    Identity Manager
    Virtual Machine Manager
    Virtual Network Manager
    IaaS
    Network Transport
  • 7. Part 2. Intercloud Testbed
    7
    Cloud 2
    Cloud 1
  • 8. We have several cloud standards…
    • Platform as a Service
    • 9. Cloud Compute Services
    • 10. Data/Table Cloud Services
    • 11. Cloud Storage Services
    Large Data Cloud Interoperability Framework
    SNIA Cloud Data Management Interface (CDMI)
    • Infrastructure as a Service
    • 12. Virtual Data Centers (VDC)
    • 13. Virtual Networks (VN)
    • 14. Virtual Machines (VM)
    Open Cloud Computing Interface (OCCI)
    Open Virtualization Format (OVF)
  • 15. Where are the Gaps?
    • Naming entities in IaaS & PaaS
    • 16. Bridging IaaS & DaaS
    • 17. Services that span multiple VMs, ….
    • 18. Platform as a Service
    • 19. Cloud Compute Services
    • 20. Data as a Service
    Large Data Cloud Interoperability Framework
    SNIA Cloud Data Management Interface (CDMI)
    • Infrastructure as a Service
    • 21. Virtual Data Centers (VDC)
    • 22. Virtual Networks (VN)
    • 23. Virtual Machines (VM)
    • 24. Physical Resources
    Open Cloud Computing Interface (OCCI)
    Open Virtualization Format (OVF)
  • 25. Bridging the Gaps…A Small Step
    • Platform as a Service
    • 26. Cloud Compute Services
    • 27. Data as a Service
    Large Data Cloud Interoperability Framework
    SNIA Cloud Data Management Interface (CDMI)
    Metadata service linking IaaS and DaaS
    Metadata service naming and linking entities in the IaaS layers
    • Infrastructure as a Service
    • 28. Virtual Data Centers (VDC)
    • 29. Virtual Networks (VN)
    • 30. Virtual Machines (VM)
    • 31. Physical Resources
    Open Cloud Computing Interface (OCCI)
    Open Virtualization Format (OVF)
  • 32. Part 3. Large Data Cloud Working Group
    11
    Standards for integrating and interoperating large data cloud services such as those provided by Hadoop and similar systems.
  • 33. Focus of Working Group
    12
    App
    App
    App
    App
    App
    Table-based Data Services
    Relational-like Data Services
    App
    App
    Cloud Compute Services (MapReduce, UDF, & other programming frameworks)
    App
    App
    Cloud Storage Services
    Developing APIs for this framework.
  • 34. Benchmarks for Large Data Clouds
    Until recently, the only benchmark used was Terasort (sorting 10 billion 100 byte records)
    Replaced by Gray Sort and Minute Sort
    Gray Sort tries to maximize TB / min sorted on 100 TB or more of data.
    Hadoop holds the current Gray Sort and Minute Sort records.
    Problem: sort is just one of the types of work load for analytic applications
  • 35. MalStone
    MalGen – generates synthetic data with realistic distributions.
    MalStone A & B – “stylized” computations that can be used as benchmarks for architectures, software and systems for large data clouds.
    Open source and available at malgen.googlecode.com
    14
  • 36. Part 4. OCC Testbeds
  • 37. Condominium Clouds
    In a condominium cloud, you buy your own rack or bunch of racks.
    The racks are managed and operated by the condominium association, in this case the OCC.
    If your rack is 120 TB, you get the rights to c. 40 TB of storage in the cloud. The rest is a shared resource.
    The Open Cloud Testbed is a condo cloud managed by the OCC.
    16
  • 38. Open Cloud Testbed
    C-Wave
    CENIC
    Dragon
    Phase 2
    9 racks
    250+ Nodes
    1000+ Cores
    10+ Gb/s
    MREN
    17
  • 43. Part 5. Open Science Data Cloud Working Group
    18
  • 44. Open Science Data Cloud
    Astronomical data
    Biological data (Bionimbus)
    Networking data
    19
  • 45. For More Information
    info@opencloudconsortium.org
    www.opencloudconsortium.org