I-CASH: SSD和HDD智能耦合阵列

Qing Yang, Jin Ren
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引用次数: 167

摘要

本文提出了一种新的磁盘I/O体系结构,该体系结构由一个闪存(SSD)阵列和一个硬盘驱动器(HDD)阵列组成,并通过一种特殊的算法进行智能耦合。我们称这种架构为I-CASH: SSD和HDD的智能耦合阵列。SSD存储的是很少改变的、经常读的参考数据块,而HDD在SSD中存储的是当前访问的I/O块与对应的参考数据块之间的增量日志,因此在线I/O操作时不会在SSD中进行随机写操作。开发了高速增量压缩和相似度检测算法来控制SSD和HDD对。其理念是利用ssd的快速读取性能和现代多核cpu的高速计算能力,在很大程度上取代和替代hdd的机械操作。同时,我们避免运行时SSD写缓慢和磨损。I- cash的实验原型已经实现,并用于评估I- cash与现有SSD/HDD I/O架构的性能。标准基准测试的数值结果表明,与现有的磁盘I/O架构(如RAID和SSD/HDD存储层次)相比,I- cash将平均I/O响应时间减少了一个数量级,并且比最先进的纯SSD存储提供高达2.8的加速。此外,I-CASH减少了对SSD的随机写入,这意味着减少了磨损,延长了SSD的使用寿命。
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I-CASH: Intelligently Coupled Array of SSD and HDD
This paper presents a new disk I/O architecture composed of an array of a flash memory SSD (solid state disk) and a hard disk drive (HDD) that are intelligently coupled by a special algorithm. We call this architecture I-CASH: Intelligently Coupled Array of SSD and HDD. The SSD stores seldom-changed and mostly read reference data blocks whereas the HDD stores a log of deltas between currently accessed I/O blocks and their corresponding reference blocks in the SSD so that random writes are not performed in SSD during online I/O operations. High speed delta compression and similarity detection algorithms are developed to control the pair of SSD and HDD. The idea is to exploit the fast read performance of SSDs and the high speed computation of modern multi-core CPUs to replace and substitute, to a great extent, the mechanical operations of HDDs. At the same time, we avoid runtime SSD writes that are slow and wearing. An experimental prototype I-CASH has been implemented and is used to evaluate I-CASH performance as compared to existing SSD/HDD I/O architectures. Numerical results on standard benchmarks show that I-CASH reduces the average I/O response time by an order of magnitude compared to existing disk I/O architectures such as RAID and SSD/HDD storage hierarchy, and provides up to 2.8 speedup over state-of-the-art pure SSD storage. Furthermore, I-CASH reduces random writes to SSD implying reduced wearing and prolonged life time of the SSD.
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