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dc.contributor.authorLiberatore, Vincenzoen_US
dc.date.accessioned2004-05-31T22:54:37Z
dc.date.available2004-05-31T22:54:37Z
dc.date.created1998-12en_US
dc.date.issued1998-12-03en_US
dc.identifier.urihttp://hdl.handle.net/1903/982
dc.description.abstractUnicast connections lead to performance and scalability problems when a large client population attemps to access the same data. Broadcast push and broadcast disk technology address the problem by broadcasting data items from a server to a large number of clients. Broadcast disk performance depends mainly on caching strategies at the client site and on how the broadcast is scheduled at the server site. An on-line broadcast disk paging strategy makes caching decisions without knowing access probabilities. In this paper, we subject on-line paging algorithms to extensive empirical investigation. The Gray algorithm [KL98] always outperformed other on-line strategies on both synthetic and Web traces. Moreover, caching limited the skewness needed from a broadcast schedule, and led to favor efficient caching algorithms over refined scheduling strategies when the cache was not small. Prior to this paper, no work had empirically investigated on-line paging algorithm and their relation with server scheduling. (Also cross-referenced as UMIACS-TR-98-71)en_US
dc.format.extent431815 bytes
dc.format.mimetypeapplication/postscript
dc.language.isoen_US
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-3960en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-98-71en_US
dc.titleCaching and Scheduling for Broadcast Disk Systemsen_US
dc.typeTechnical Reporten_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US


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