Persistent State Machines for Recoverable In-memory Storage Systems with NVRam
Persistent State Machines for Recoverable In-memory Storage Systems with NVRam
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发表时间：
2020
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通讯作者：
Wen Zhang;S. Shenker;Irene Zhang
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作者：
Wen Zhang;S. Shenker;Irene Zhang
分布式内存存储系统对于满足现代数据中心服务的低延迟要求至关重要。然而，它们在发生故障时会丢失所有状态，因此恢复成本高昂，并且数据丢失始终存在风险。持久内存（PM）提供了构建快速、持久内存存储的可能性；然而，现有的 PM 系统是从头开始构建的，或者需要对现有系统进行大量修改。为了纠正这些问题，本文提出了 Persimmon，这是一种基于 PM 的系统，它将现有的分布式内存存储系统转换为持久的、崩溃一致的版本，且开销较低，代码更改最少。
Distributed in-memory storage systems are crucial for meeting the low latency requirements of modern datacenter services. However, they lose all state on failure, so recovery is expensive and data loss is always a risk. Persistent memory (PM) offers the possibility of building fast, persistent in-memory storage; however, existing PM systems are built from scratch or require heavy modification of existing systems. To rectify these problems, this paper presents Persimmon, a PM-based system that converts existing distributed in-memory storage systems into persistent, crash-consistent versions with low overhead and minimal code changes.