An evolutionary scheme for Web Replication and Caching

Design and implementation of eectivecaching schemes has been a critical issue withrespect to World Wide Web ob jects circulation and availability Caching and replication have been combined and applied in prototype systems in order to reduce the overallbandwidth and increase systems fault tolerance This paper presents a model for optimizing access performance when requesting Web ob jects across distributed systems Thereplication and caching scheme is designed by the use of an evolutionary computationalgorithm Cached data are considered as a population evolving over simulated timereplicating the most prominent data to dedicated replication servers The simulationmodel is experimented and tested under cache traces provided by the Squid proxy cacheserver at the Aristotle University of Thessaloniki Cache hit rates and bytes hit length arereported showing that the proposed evolutionary mechanisms improve cache consistencyand reliability.