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A study of the performance and parameter sensitivity of adaptive distributed caching

机译:自适应分布式缓存的性能和参数敏感性研究

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A self-organized approach to manage a distributed proxy system called Adaptive Distributed Caching (ADC) has been proposed previously [8]. We model each proxy as an autonomous agent that is equipped to decide how to deal with client requests using local information. Experimental results show that our ADC algorithm is able to compete with typical hashing-based approaches. This paper gives a full description of the self-organizing distributed algorithm, with a performance comparison based on hits and hops rate. Additional evaluation of the parameters caching-, multiple- and single-table size is also presented.
机译:先前已经提出了一种自组织的方法来管理称为自适应分布式缓存(ADC)的分布式代理系统[8]。我们将每个代理建模为一个自主代理,该代理可以决定如何使用本地信息来处理客户请求。实验结果表明,我们的ADC算法能够与典型的基于散列的方法竞争。本文对自组织分布式算法进行了完整描述,并基于命中率和跳数进行了性能比较。还介绍了对参数的缓存大小,多表大小和单表大小的附加评估。

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