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首页> 外文期刊>IEEE transactions on dependable and secure computing >Cross-Rack-Aware Single Failure Recovery for Clustered File Systems
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Cross-Rack-Aware Single Failure Recovery for Clustered File Systems

机译：群集文件系统的交叉机架感知单个故障恢复

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摘要

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 clustered 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 propose CAR, a cross-rack-aware recovery algorithm that is designed to improve the performance of single failure recovery of a CFS that employs Reed-Solomon codes for general fault tolerance. 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.
机译：由于其在大型存储系统中的流行，如何提高单一故障恢复的性能一直是一个活跃的研究主题。我们认为，当在群集文件系统（CFS）中部署擦除编码时，现有的单个故障恢复设计在不同方面有限：忽略CFS架构中的带宽分集属性，针对特定的擦除代码结构，并且对负载没有特殊处理恢复期间平衡。在本文中，我们提出了一种跨架感知恢复算法，旨在改善采用簧片核查的CFS的单一故障恢复的性能，用于一般容错。对于每个条纹，汽车找到一个恢复解决方案，可以从最小架子中检索数据。它还通过在交叉机架传输之前执行帧内数据聚合来减少交叉机架维修流量的量。此外，通过考虑多条纹恢复，汽车将跨越多个机架的交叉机架维修流量的数量。评估结果表明，汽车可以有效地减少交叉机架维修流量和所产生的恢复时间。

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