一种利用时间和内容位置的新缓存设计

Jin Ren, Qing Yang
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引用次数: 20

摘要

本文提出了一种最不常用的缓存算法来同时利用I/O请求的时间局部性和内容局部性。选择流行的数据块作为参考块,这些数据块不仅经常被访问,而且在内容上与正在被访问的其他块相同或相似。快速增量压缩和解压缩用于使用流行的参考块以及缓冲区缓存内的小增量来满足尽可能多的I/O请求。参考块的流行度是通过对数据内容和访问频率的统计分析来计算的。在Linux系统上实现了一个原型LPU,作为内核虚拟机(KVM)的一种新的缓存层。实验结果表明,LPU在各种工作负载下都是有效的,与LRU相比,最大速度提高了300%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Buffer Cache Design Exploiting Both Temporal and Content Localities
This paper presents a Least Popularly Used buffer cache algorithm to exploit both temporal locality and content locality of I/O requests. Popular data blocks are selected as reference blocks that are not only accessed frequently but also identical or similar in content to other blocks that are being accessed. Fast delta compression and decompression are used to satisfy as many I/O requests as possible using the popular reference blocks together with small deltas inside the buffer cache. The popularity of a reference block is calculated based on the statistical analysis of data contents and access frequency. A prototype LPU has been implemented as a new cache layer for Kernel Virtual Machine (KVM) on Linux system. Experimental results show LPU is effective for a variety of workloads with the maximum speed up of over 300% compared with LRU.
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