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A Case Study of Performance Evaluation for RAID-Coded Storage Systems

机译:RAID编码存储系统性能评估的案例研究

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RAID codes are extensive developed to supply high reliability and high available for storage systems in modern data center. For example, RAID-0, RAID-4, RAID-5 and RAID-6 are wide deployed in in-production storage systems, of which RAID-6 codes are popular with the ability for tolerate two-disk-failure. The paper focus on performance evaluation of storage systems powered by RAID-6, firstly propose an analytical model to measure encoding, decoding and updating complexity, which is translated into XOR operation numbers for storage systems, and quantify the complexity of RDP and RP-RDP (i.e., two RAID-6 data layout schemes) using the formulated analytical model. Computational complexity of RAID code can significantly influence the write performance of storage systems, i.e., optimal computational complexity achieve better storage performance. The numerical results show RP-RDP, with optimal updating complexity, achieve better I/O balancing than RDP. For example, RP-RDP speeds up the load balancing ratio of RDP by a factor of up to 2.95 in the case of Random-SW.
机译:RAID代码广泛开发,可提供高可靠性和高可用于现代数据中心存储系统的高可靠性和高。例如,RAID-0,RAID-4,RAID-5和RAID-6位于生产存储系统中,其中RAID-6代码流行,具有容忍两盘故障的能力。本文重点研究由RAID-6提供支持的存储系统的性能评估,首先提出了分析模型来测量编码,解码和更新复杂性,这被转换为存储系统的XOR操作号,并量化RDP和RP-RDP的复杂性(即,使用配制的分析模型(即两个RAID-6数据布局方案)。 RAID码的计算复杂性可以显着影响存储系统的写性能,即最佳计算复杂性实现更好的存储性能。数值结果显示RP-RDP,最佳更新复杂性,比RDP实现更好的I / O平衡。例如,在随机SW的情况下,RP-RDP将RDP的负载平衡比率高达2.95。

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