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Hydra : Resilient and Highly Available Remote Memory

Talkat FAST '22 · 2022-02-22..02-24· [distributed-systems]
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Hydra is a remote-memory system that encodes 4 KB pages on-the-fly and serves reads/writes with single-digit μs latency by asynchronous encode/write, k+r optimistic reads, and zero-copy paths. It implements CodingSets placement to spread k data + r parity splits across disjoint failure domains, reducing correlated-data-loss by an order of magnitude. On a 50-node testbed Hydra matches replicated performance while cutting overhead to 1.25× and outperforms prior remote-memory solutions by up to 4.35×.

AI-written summary · about

  1. 0:00Intro
  2. 0:54Remote Memory is Vulnerable
  3. 2:11Remote Memory Performs Great!
  4. 3:21Performance Tradeoff for Resiliency
  5. 6:48Remote Memory w/ Hydra
  6. 8:01Data Plane
  7. 8:32Hydra Datapath - Asynchronously Encoded Write
  8. 9:33Hydra Datapath – Late-binding Read
  9. 12:53Replication-like Performance at Lower Overhead
  10. 13:50Performance Tradeoff w/ Hydra
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