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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代码已得到广泛开发,可为现代数据中心的存储系统提供高可靠性和高可用性。例如,RAID-0,RAID-4,RAID-5和RAID-6广泛部署在生产中的存储系统中,其中RAID-6代码很受欢迎,并且具有容忍两个磁盘故障的能力。本文着重研究RAID-6驱动的存储系统的性能评估,首先提出一种分析模型,以测量编码,解码和更新的复杂度,并将其转换为存储系统的XOR操作数,并量化RDP和RP-RDP的复杂度(即两个RAID-6数据布局方案)使用公式化的分析模型。 RAID代码的计算复杂度会显着影响存储系统的写入性能,即,最佳计算复杂度可实现更好的存储性能。数值结果表明,RP-RDP具有最佳的更新复杂性,与RDP相比,具有更好的I / O平衡。例如,在Random-SW的情况下,RP-RDP将RDP的负载平衡比提高了2.95倍。

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