Data storage for the cloud ce11
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Data storage for the cloud ce11

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Storage for the Cloud - Xiotech

Storage for the Cloud - Xiotech

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Data storage for the cloud ce11 Presentation Transcript

  • 1. Jim McDonald
    Chief Strategy Officer, Xiotech
    Data Storage for the CloudBalancing Performance, Capacity and Cost
  • 2. Most data follows a similar pattern
    Write, read, ignore
    “Small” amounts of data follow a much more aggressive pattern
    Write, write,read, write,read, read, write, read,read, read,write, write, write, write,read, write
    The result is that for effective cloud storage you need to have both high capacity and highperformance
    And it needs to be cheaper than could be done in-house
    Storage for the Cloud
  • 3. Traditional cloud storage was viewed as a data dumping ground
    All about $/GB, performance “irrelevant”
    Cloud storage is now becoming a lot more active:
    File synchronisation
    Big data
    Calendars

    And performance is needed for cloud computing
    If it can’t do it faster and cheaper it won’t win
    Why are the Requirements Changing?
  • 4. An Unfortunate Side-effect of Capacity Growth
  • 5. Over the past 10 years, on a performance/GB basis, drives have gone down 50x
    What Does This Mean?
  • 6. A standard enterprise drive can handle roughly:
    An Exchange server with 125 users @ 2.4GB/user
    A 300GB database with 12 transactions per second
    A virtual desktop implementation with 3 users @ 100GB/user
    The capacity Vs. performance numbers are very imbalanced against performance
    For internal IT this is wasted expenditure
    For cloud service providers this is unobtainable revenue
    Performance is the Limiting Factor
  • 7. Snapshots
    Thin provisioning
    Deduplication (not compression)
    Traditional tiering
    Housekeeping
    Things which Lower Performance
  • 8. Traditional tiering is a great example of sacrificing performance for capacity
    Because tiering focuses on capacity
    Current tiering algorithms are especially bad for heavily-loaded environments
    Think sat nav before traffic information
    Enterprise storage:
    10,000 IOPS
    Traditional Tiering
    Archive storage:
    2,000 IOPS
    Performance
    Current tiering solutions are fine if you just want capacity
    (But if you just want capacity don’t bother with tiering)
  • 9. Add disks
    Fine, as long as you don’t use the capacity
    Increase the performance per disk
    Cache (sometimes)
    Better understanding of drives
    Intelligent data placement algorithms
    Tier for performance
    Use all of the performance of all of the drives
    How to Fix This:Increase Performance
  • 10. Cloud test suite provides clean copies of every current version of Microsoft Windows
    Desktop and server, all language patches, all valid combinations of patches (several thousand instances)
    Automatically uploads program and runs tests, stores results in centralised area, then destroys the VMs
    Performance is the enabler:
    The time taken to create and destroy the VMs is at the cost of the service provider and not the customer
    So if it can be reduced the service provider makes more money
    The time taken to run the tests is a fixed rate
    So if it can be reduced the service provider makes more money
    Example:Cloud Test Suite
  • 11. Stop thinking like it’s 2000
    “If I could get all the old data off my enterprise drives I’d be rich”
    Capacity is not expensive any more, performance is
    Measure anything other than archive storage in terms of performance not capacity
    Be wary of capacity-increasing (and performance-decreasing) “added value” features
    Do you really need more capacity and less performance?
    Closing Thoughts
  • 12. Questions?
  • 13. Thank You