独立引用模型下缓存的输出:引用的局域性到哪里去了?

Sarut Vanichpun, A. Makowski
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引用次数: 42

摘要

当文档请求根据独立参考模型(IRM)建模时,我们考虑在需求驱动的替换策略下运行的缓存。我们描述了来自缓存的未命中流的流行度pmf,即所谓的缓存输出,用于大量需求驱动的缓存替换策略。我们通过请求流的流行度分布的偏度来衡量请求流中引用的局部性强度。使用多数化的概念来捕获这种偏度,我们表明,对于策略A0和随机策略,输出总是比输入具有更少的参考局部性。然而,我们通过反例表明,在LRU和CLIMB策略下,当输入是根据类似zipf的pmf选择时,情况并非总是如此。在这种情况下,就LRU或CLIMB缓存何时确实减少了引用的局部性提供了推测(并得到了模拟的支持)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The output of a cache under the independent reference model: where did the locality of reference go?
We consider a cache operating under a demand-driven replacement policy when document requests are modeled according to the Independent Reference Model (IRM). We characterize the popularity pmf of the stream of misses from the cache, the so-called output of the cache, for a large class of demand-driven cache replacement policies. We measure strength of locality of reference in a stream of requests through the skewness of its popularity distribution. Using the notion of majorization to capture this degree of skewness, we show that for the policy A0 and the random policy, the output always has less locality of reference than the input. However, we show by counterexamples that this is not always the case under the LRU and CLIMB policies when the input is selected according to a Zipf-like pmf. In that case, conjectures are offered (and supported by simulations) as to when LRU or CLIMB caching indeed reduces locality of reference.
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