Carbink: Fault-Tolerant Far Memory
Carbink: Fault-Tolerant Far Memory
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发表时间：
2022
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通讯作者：
Yang Zhou;Hassan Wassel;Sihang Liu;Jiaqi Gao;James Mickens;Minlan Yu;Chris Kennelly;Paul Turner;David E. Culler;Henry M. Levy;A. Vahdat
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作者：
Yang Zhou;Hassan Wassel;Sihang Liu;Jiaqi Gao;James Mickens;Minlan Yu;Chris Kennelly;Paul Turner;David E. Culler;Henry M. Levy;A. Vahdat
远内存系统允许应用程序透明地访问本地内存以及属于远程机器的内存。容错性是任何实际的远存储器方法的关键属性，因为机器故障（计划内和计划外）是计算机中心的地方病。然而，设计一个在计算和存储方面都有效的容错方案是困难的。在本文中，我们介绍了Carbink，一个远存储器系统，它使用擦除编码，远程存储器压缩，单边RMA和可重加载的奇偶校验计算来实现快速，存储效率高的容错。与Hydra相比，Carbink的尾部延迟降低了29%，应用程序性能提高了48%，内存使用率最多提高了35%。
Far memory systems allow an application to transparently access local memory as well as memory belonging to remote machines. Fault tolerance is a critical property of any practical approach for far memory, since machine failures (both planned and unplanned) are endemic in datacenters. However, designing a fault tolerance scheme that is efficient with respect to both computation and storage is difficult. In this paper, we introduce Carbink, a far memory system that uses erasure-coding, remote memory compaction, one-sided RMAs, and offloadable parity calculations to achieve fast, storage-efficient fault tolerance. Compared to Hydra, a state-of-the-art fault-tolerant system for far memory, Carbink has 29% lower tail latency and 48% higher application performance, with at most 35% higher memory usage.