<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">A Webbased evolutionary model for Internet Data Caching</style></title></titles><dates><year><style  face="normal" font="default" size="100%">1999</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Caching is a standard solution to the problem of insufcient bandwidth caused by the rapid increase of information circulation across the Internet Cache consistency mechanisms are a crucial component of eachcache scheme inuencing the cache usefulness and reliability This paper presents a model for optimizingInternet cache content by the use of a genetic algorithm and examines the model by tracedrivenexperiments Cached data are considered as a populationevolving over simulated time by a number of successive cache generations The model is tested by theuse of traces provided by a Squid proxy cache serverUsing tracedrivencaching we show that the proposed evolutionary mechanisms improve cache nonstaleness and consistency and result in an updatedcache content.&lt;/p&gt;
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