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Synchronous I/O Scheduling of Independent Write Caches for an Array of SSDs

机译:固态硬盘阵列的独立写缓存的同步I / O调度

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Solid-state drives (SSD) offer a significant performance improvement over the hard disk drives (HDD), however, it can exhibit a significant variance in latency and throughput due to internal garbage collection (GC) process on the SSD. When the SSDs are configured in a RAID, the performance variance of individual SSDs could significantly degrade the overall performance of the RAID of SSDs. The internal cache on the RAID controller can help mitigate the performance variability issues of SSDs in the array; however, the state-of-the-art cache algorithm of the RAID controller does not consider the characteristics of SSDs. In this paper, we examine the most recent write cache algorithm for the array of disks, and propose a synchronous independent write cache (SIW) algorithm. We also present a pre-parity-computation technique for the RAID of SSDs with parity computations, which calculates parities of blocks in advance before they are stored in the write cache. With this new technique, we propose a complete paradigm shift in the design of write cache. In our evaluation study, large write requests dominant workloads show up to about 50 and 20 percent improvements in average response times on RAID-0 and RAID-5 respectively as compared to the state-of-the-art write cache algorithm.
机译:固态驱动器(SSD)与硬盘驱动器(HDD)相比可提供显着的性能改进,但是,由于SSD上的内部垃圾回收(GC)过程,固态驱动器(SSD)的延迟和吞吐量可能会出现明显变化。在RAID中配置SSD时,单个SSD的性能差异可能会大大降低RAID的整体性能。 RAID控制器上的内部缓存可以帮助缓解阵列中SSD的性能可变性问题。但是,RAID控制器的最新缓存算法未考虑SSD的特性。在本文中,我们检查了磁盘阵列的最新写缓存算法,并提出了一种同步独立写缓存(SIW)算法。我们还介绍了一种用于奇偶校验计算的SSD的RAID奇偶校验计算技术,该技术可以在将块存储在写缓存之前预先计算出奇偶校验。借助这项新技术,我们提出了写缓存设计中的完整范式转换。在我们的评估研究中,与最新的写缓存算法相比,大型写请求占主导地位的工作负载分别对RAID-0和RAID-5的平均响应时间分别提高了大约50%和20%。

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