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Using performance maps to understand the behavior of web caching policies

机译:使用性能图来了解Web缓存策略的行为

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One of the most important differences between traditional caching and Web caching is the high variability of the size of Web objects. As a consequence of that variability, we use two metrics to assess performance of Web caching replacement policies: hit ratio (HR) and byte hit ratio (BHR). This paper presents an analytical model relating these two performance metrics. We show that the relation between hit ratio and byte hit ratio is a function of the mean size of the Web cache server responses and of the mean size of the hit responses. Based on the analytical relationship, we introduce the concept of performance map for a given workload. Performance maps are useful tools for designing and comparing performance of different replacement policies that deal with objects of variable size, such as the Web caches. Performance maps are applied to some actual workloads, that have been used as de-facto standards for comparing performance of Web caching management algorithms.
机译:传统缓存和Web缓存之间最重要的差异之一是Web对象大小的高度变化。由于这种可变性,我们使用两个指标来评估Web缓存替换策略的性能:命中比率(HR)和字节命中率(BHR)。本文介绍了这两个性能指标的分析模型。我们表明命中比率和字节命中比率之间的关系是Web缓存服务器响应的平均大小的函数,并且是自行响应的平均大小的函数。基于分析关系,我们介绍了给定工作量的性能图的概念。性能图是设计和比较处理可变大小的对象的不同替换策略的性能的有用工具,例如Web缓存。性能图应用于某些实际工作负载,这些工作负载已被用作比较Web缓存管理算法性能的De-Facto标准。

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