描述文档类型以评估Web缓存替换策略

F. J. González-Cañete, E. Casilari-Pérez, A. Triviño-Cabrera
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引用次数: 9

摘要

本文对六种替代政策的绩效进行了研究。其中三个是经典的缓存算法(LRU、LFU和LFU- da),另外三个是专门为Web文档开发的缓存方案(GO-SIZE、GDSF和GD*)。本研究根据在网络流量中观察到的主要内容类型(应用程序、音频、图像、文本和视频)进行了划分。使用真实代理缓存的跟踪日志,对文档的主要属性进行了表征,例如大小特征、流行程度和时间位置。最后,针对每个考虑的内容类型生成的流量,开发了替换策略性能的跟踪驱动模拟研究
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterizing Document Types to Evaluate Web Cache Replacement Policies
In this paper, a study of the performance of six replacement policies has been developed. Three of them are classical caching algorithms (LRU, LFU and LFU-DA) while the other three are caching schemes specifically developed for Web documents (GO-SIZE, GDSF and GD*). This study has been divided by the main content-types observed in Web traffic (application, audio, images, text and video). Using a trace log of a real proxy cache, a characterization of the main properties of the documents has been performed, such as size characteristics, popularity and temporal locality. Finally, a trace driven simulation study of the performance of the replacement policies has been developed for the traffic generated by each considered content-type
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