Hydra : Resilient and Highly Available Remote Memory

  • Lee, Youngmoon; 
  • Al Maruf, Hasan; 
  • Chowdhury, Mosharaf; 
  • Cidon, Asaf; 
  • Shin, Kang G.
Citations

SCOPUS

51

초록

We present Hydra, a low-latency, low-overhead, and highly available resilience mechanism for remote memory. Hydra can access erasure-coded remote memory within a single-digit µs read/write latency, significantly improving the performance-efficiency tradeoff over the state-of-the-art - it performs similar to in-memory replication with 1.6× lower memory overhead. We also propose CodingSets, a novel coding group placement algorithm for erasure-coded data, that provides load balancing while reducing the probability of data loss under correlated failures by an order of magnitude. With Hydra, even when only 50% memory is local, unmodified memory-intensive applications achieve performance close to that of the fully in-memory case in the presence of remote failures and outperforms the state-of-the-art remote-memory solutions by up to 4.35×. © AST 2022.All rights reserved.

제목
Hydra : Resilient and Highly Available Remote Memory
저자
Lee, Youngmoon; Al Maruf, Hasan; Chowdhury, Mosharaf; Cidon, Asaf; Shin, Kang G.
발행일
2022-02
유형
Proceeding
저널명
USENIX Conference on File and Storage Technologies (FAST)
페이지
181 ~ 197