Evaluating Memory Compression and Deduplication

Yuhui Deng, Liangshan Song, Xinyu Huang
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引用次数: 6

Abstract

Many programs require more RAM to hold their data than a typical computer has. Theoretically, both the compression and deduplication can trade the rich computing capacity for more available RAM space. This paper comprehensively evaluates the performance behaviour of memory compression and memory deduplication by using seven real memory traces. The experimental results give two implications: (1) Memory deduplication greatly outperforms memory block compression. (2) Fixed-size partition (FSP) achieves the best performance in contrast to Content-defined Chunking (CDC) and Sliding Block (SB). The optimal chunking size of FSP is equal to the size of a memory page. The analysis results in this paper should be able to provide useful insights for designing or implementing systems that require abundant memory resources to enhance the system performance.
评估内存压缩和重复数据删除
许多程序需要比普通计算机更多的RAM来存储数据。理论上,压缩和重复数据删除都可以用丰富的计算能力换取更多可用的RAM空间。本文通过七条真实的内存轨迹,综合评价了内存压缩和内存重复数据删除的性能行为。实验结果表明:(1)重复数据删除大大优于内存块压缩。(2)相对于Content-defined Chunking (CDC)和Sliding Block (SB), Fixed-size partition (FSP)达到了最好的性能。FSP的最优分块大小等于一个内存页面的大小。本文的分析结果应该能够为设计或实现需要大量内存资源以提高系统性能的系统提供有用的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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