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EPaxos Revisited

Talkat NSDI ’21 · 2021-04-12..04-14· [distributed-systems]
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Re-evaluation reproduces EPaxos’s low median commit latency but shows 99th-percentile latency often worse than Multi‑Paxos — sometimes more than 4× worse — and conflict rates varying from 0–35% across 99 access patterns measured at ~80% throughput using a zipfian key distribution. A clock-based technique called Timestamp Ordered Queuing (TOQ) delays processing to align deliveries, cutting conflicts 50–100% (quorum sync) and reducing mean latency up to 7.5% while full-sync eliminates conflicts at prohibitive best‑case latency cost; execution delay is bounded to ~3 WAN RTTs.

AI-written summary · about

  1. 0:00Intro
  2. 0:24Overview
  3. 2:00Traditional Consensus (e.g. Multi-Paxos)
  4. 2:35Egalitarian Paxos (EPaxos)
  5. 3:31Dependencies & Conflicts
  6. 4:24EPaxos Commit: Different From MPaxos
  7. 5:09Execution
  8. 5:39New EPaxos Benchmarking Strategy
  9. 7:26EPaxos Evaluation
  10. 8:31Reducing Conflicts
  11. 8:50TOQ Intuition
  12. 9:32Timestamp-Ordered Queueing (TOQ)
  13. 9:56Fully Consistent TOQ Increases Latency
  14. 10:20TOQ Sync Groups: Conflict vs. Latency Trade-off
  15. 10:41TOQ Results
  16. 11:42Conclusion
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