重新考虑集群文件系统的单故障恢复

Zhirong Shen, J. Shu, P. Lee
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引用次数: 46

摘要

由于单故障恢复在大型存储系统中的普遍存在,如何提高单故障恢复的性能一直是一个活跃的研究课题。本文认为,当在集群文件系统(CFS)中部署擦除编码时,现有的单故障恢复设计在不同方面存在局限性:忽略了CFS架构中的带宽分集特性,针对特定的擦除码结构,以及在恢复过程中没有对负载均衡进行特殊处理。本文重新考虑了CFS环境下的单故障恢复问题,提出了一种交叉机架感知恢复算法CAR。对于每个条带,CAR找到一个从最少机架数量检索数据的恢复解决方案。它还通过在跨机架传输之前执行机架内数据聚合,减少了跨机架修复通信量。此外,通过考虑多条恢复,CAR在多个机架上平衡了跨机架的修复流量。评估结果表明,CAR可以有效地减少跨机架维修流量和由此产生的恢复时间。
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Reconsidering Single Failure Recovery in Clustered File Systems
How to improve the performance of single failure recovery has been an active research topic because of its prevalence in large-scale storage systems. We argue that when erasure coding is deployed in a cluster file system (CFS), existing single failure recovery designs are limited in different aspects: neglecting the bandwidth diversity property in a CFS architecture, targeting specific erasure code constructions, and no special treatment on load balancing during recovery. In this paper, we reconsider the single failure recovery problem in a CFS setting, and propose CAR, a cross-rack-aware recovery algorithm. For each stripe, CAR finds a recovery solution that retrieves data from the minimum number of racks. It also reduces the amount of cross-rack repair traffic by performing intra-rack data aggregation prior to cross-rack transmission. Furthermore, by considering multi-stripe recovery, CAR balances the amount of cross-rack repair traffic across multiple racks. Evaluation results show that CAR can effectively reduce the amount of cross-rack repair traffic and the resulting recovery time.
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