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Automatic, Application-Aware I/O Forwarding Resource Allocation

Talkat FAST '19 · 2019-02-25..02-28· [data-engineering]
name:Xu Ji
links:none on file
slides:none on file

A system called DFRA uses low-overhead, history-based I/O monitoring (BEACON) to decide at job dispatch whether to give a job extra forwarding nodes or dedicated forwarding nodes; decision rules check per-job volume, node profiles and a calculated required forwarding capacity. Deployed on Sunway TaihuLight, remapping completes in seconds, removes most pairwise interference (some workloads hit up to 16.0x I/O speedup), and saved ~200 million core-hours in eight months while operating opt-in by job submission.

AI-written summary · about

  1. 0:00Intro
  2. 0:36Storage Crucial for Supercomputing
  3. 3:54Sample Forwarding Configuration: TaihuLight
  4. 6:09Resource Misallocation
  5. 10:28Forwarding Node Anomaly
  6. 13:31Automatic Forwarding Node Scaling
  7. 19:00DFRA Workflow
  8. 19:53Implementation and Deployment Status
  9. 23:25Upgrade Eligibility of Historical Jobs
  10. 24:56I/O Interference Reduction
  11. 26:02Remapping Overhead vs. Saving
  12. 26:53Conclusion
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