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https://doi.org/10.1145/107972.107978

has been cited by the following article:

• TITLE: Evaluation of an Evolutionary Algorithm to Dynamically Alter Partition Sizes in Web Caching Systems

  AUTHORS: Richard Hurley, Graeme Young

  KEYWORDS: Evolutionary Algorithm, Web Cache, Partition, Simulation, Performance Analysis, Hit Rate

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.13 No.9, September 29, 2020

  ABSTRACT: There has been an explosion in the volume of data that is being accessed from the Internet. As a result, the risk of a Web server being inundated with requests is ever-present. One approach to reducing the performance degradation that potentially comes from Web server overloading is to employ Web caching where data content is replicated in multiple locations. In this paper, we investigate the use of evolutionary algorithms to dynamically alter partition size in Web caches. We use established modeling techniques to compare the performance of our evolutionary algorithm to that found in statically-partitioned systems. Our results indicate that utilizing an evolutionary algorithm to dynamically alter partition sizes can lead to performance improvements especially in environments where the relative size of large to small pages is high.