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Vendor Update: Changes in Industry; Re-evaluate products

Vendor Update: Changes in Industry; Re-evaluate products. Omer Asad Architect, Office of the CTO. Industry Trends. Falling Prices around commodity hardware More cores on a chip Cheaper more dense RAM (Cache) Result: Re-evaluate compute model HPC grids/clusters; distributed processing

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Vendor Update: Changes in Industry; Re-evaluate products

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  1. Vendor Update:Changes in Industry; Re-evaluate products Omer Asad Architect, Office of the CTO

  2. Industry Trends • Falling Prices around commodity hardware • More cores on a chip • Cheaper more dense RAM (Cache) • Result: Re-evaluate compute model • HPC grids/clusters; distributed processing • Quicker results; Faster time to market • HPC more prevalent in Enterprise segment now! • Introduction of Flash as tier 0 • Flash as victim cache, augmenting RAM • Flash based SSDs for high speed I/O to disks • Eliminate the I/O stack bottleneck • Above require software changes to fully exploit benefits

  3. Industry Trends; Ramifications Compute side more advanced than storage side • Same commodity components on both compute & storage side (Ratio 50:1 sometimes) • Need for Scale-Out storage Need for: • Simplicity of management • Grids/Cluster generate PB of data • Need for I/O performance • Parallel I/O, New meta-data management paradigms • Minimal Disruptions • NDU; Checkpoint/Restart; Data movement; QOS Above require a fundamental re-think in the file system design

  4. Architecture Thoughts Ability to adjust to changing business needs • Filesystem’s ability to adapt to business & performance needs • Striped and non-striped Ability to move between different tiers non disruptively to the applications, within a Global namespace • True independence of data paths from data locations Ability to partition workloads on storage between data sets • Define Service Levels among multiple jobs • Simple integration with Checkpoint/Restart on the compute side NetApp Confidential

  5. Disks Disks Disks Disks Disks Disks Disks Disks Disks Pooled Storage Pooled Storage Pooled Storage An Attempt! Projects A B C A1 A2 A3 B1 B2 C1 C2 C3 A A1 B C2 C3 B1 B2 A3 A2 C1 C Primary Storage Secondary Storage NetApp Confidential

  6. Match storage to changing priorities Increase performance for critical jobs Re-balance as needed Save money by avoiding over-provisioning No need to touch clients, namespace is unchanged Example: Optimize response times Non-disruptive Partitionings Projects A B C A1 A2 A3 B1 B2 C1 C2 C3 A B1 B A1 C2 C3 B2 A3 A2 C1 C Project A gets dedicated resources

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