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dc.contributor.authorAbdulla, Ghaleben_US
dc.contributor.authorFox, Edward A.en_US
dc.contributor.authorAbrams, Marcen_US
dc.contributor.authorWilliams, Stephenen_US
dc.date.accessioned2013-06-19T14:35:43Z
dc.date.available2013-06-19T14:35:43Z
dc.date.issued1997-02-01
dc.identifierhttp://eprints.cs.vt.edu/archive/00000460/en_US
dc.identifier.urihttp://hdl.handle.net/10919/19949
dc.description.abstractCharacterizing World Wide Web proxy traffic helps identify parameters that affect caching, capacity planning and simulation studies. In this paper we identify invariants that hold across a collection of ten traces representing traffic seen by caching-proxy servers. The traces were collected from governmental, industry, university, high school, and an online service provider environment, with request rates that range from a few accesses to millions of accesses per hour. We also show that the examined traffic is semi-similar. We explore sources of Web self-similarity and we conclude that a strong source is the periodicity in the users behavior. The tests revealed that there is a strong connection between access rate from hour to hour. We also report the hit rate and weighted hit rate obtained by running a trace driven simulation on the workloads to simulate a proxy with infinite cache, similarly, accesses to unique servers and URLs are a small portion of the total. By considering these characteristics of traffic we can improve the utility of caching for WWW clients.en_US
dc.format.mimetypeapplication/postscripten_US
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen_US
dc.relation.ispartofHistorical Collection(Till Dec 2001)en_US
dc.titleWWW Proxy Traffic Characterization with Application to Cachingen_US
dc.typeTechnical reporten_US
dc.identifier.trnumberTR-97-03en_US
dc.type.dcmitypeTexten_US
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00000460/01/TR-97-03.ps


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