Approximate Models for General Cache Networks

Elisha J. Rosensweig, J. Kurose, D. Towsley
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引用次数: 221

Abstract

Many systems employ caches to improve performance. While isolated caches have been studied in-depth, multi-cache systems are not well understood, especially in networks with arbitrary topologies. In order to gain insight into and manage these systems, a low-complexity algorithm for approximating their behavior is required. We propose a new algorithm, termed a-Net, that approximates the behavior of multi-cache networks by leveraging existing approximation algorithms for isolated LRU caches. We demonstrate the utility of a-Net using both per- cache and network-wide performance measures. We also perform factor analysis of the approximation error to identify system parameters that determine the precision of a-Net.
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通用缓存网络的近似模型
许多系统使用缓存来提高性能。虽然孤立缓存已经被深入研究,但多缓存系统还没有得到很好的理解,特别是在具有任意拓扑结构的网络中。为了深入了解和管理这些系统,需要一种低复杂度的算法来近似它们的行为。我们提出了一种新的算法,称为a- net,它通过利用现有的孤立LRU缓存的近似算法来近似多缓存网络的行为。我们使用每个缓存和网络范围的性能度量来演示a-Net的效用。我们还对近似误差进行了因子分析,以确定决定a-Net精度的系统参数。
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