Google Inc.

Yang Zhou

Amin Vahdat

David E Culler

Henry M Levy

Hassan Mohamed Gamal Hassan Wassel

Minlan Yu

Aspects of the disclosure are directed to a low-latency, low-overhead fault tolerant remote memory framework, which packs similar-size in-memory objects into individual page-aligned spans and applies erasure coding on these spans. The framework fully utilizes efficient one-sided remote memory accesses (RMAs) to swap spans in and out using minimal network input/outputs (I/Os), with compaction techniques that reduce remote memory fragmentation. The framework can achieve lower tail latency and higher application performance compared to other fault tolerance solutions, at the cost of potentially more memory usage.

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Boston, MA, United States of America

Yang Zhou