弹性队列:用于缓存替换算法的通用SSD寿命扩展插件

Yushi Liang, Yunpeng Chai, Ning Bao, Hengyu Chen, Yao-Hong Liu
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引用次数: 11

摘要

基于闪存的固态驱动器(ssd)越来越流行,被部署为存储系统中的第二级缓存,因为原始软件具有明显的性能加速和透明度。但是,现有的缓存替换算法(如LRU、LIRS、LARC等)由于数据更新频繁,导致ssd写入次数过多,寿命短,设备成本高。面向SSD的缓存方案,由于SSD写入较少,其选择缓存块的策略是固定的,因此我们无法根据应用的特点自由选择合适的缓存算法,以获得更高的性能。为此,本文提出了一种通用的SSD寿命扩展插件EQ (Elastic Queue),该插件可以配合任何缓存算法来延长SSD的寿命。EQ通过弹性地扩展缓存块的取出边界来降低数据更新频率,使SSD设备的服务时间更长。基于实际迹线的实验结果表明,对于原来的LRU、LIRS和LARC方案,加入EQ插件后,其SSD写入量平均减少了39.03倍,同时缓存命中率平均提高了17.30%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Elastic Queue: A Universal SSD Lifetime Extension Plug-in for Cache Replacement Algorithms
Flash-based solid-state drives (SSDs) are getting popular to be deployed as the second-level cache in storage systems because of the noticeable performance acceleration and transparency for the original software. However, the frequent data updates of existing cache replacement algorithms (e.g. LRU, LIRS, and LARC) causes too many writes on SSDs, leading to short lifetime and high costs of devices. SSD-oriented cache schemes with less SSD writes have fixed strategies of selecting cache blocks, so we cannot freely choose a suitable cache algorithm to adapt to application features for higher performance. Therefore, a universal SSD lifetime extension plug-in called Elastic Queue (EQ), which can cooperate with any cache algorithm to extend the lifetime of SSDs, is proposed in this paper. EQ reduces the data updating frequency by extending the eviction border of cache blocks elastically, making SSD devices serve much longer. The experimental results based on some real-world traces indicate that for the original LRU, LIRS, and LARC schemes, adding the EQ plug-in reduces their SSD write amounts by 39.03 times, and improves the cache hit rates by 17.30% on average at the same time.
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