Servicing Mixed Data Intensive Query Workloads

dc.contributor.authorAndrade, Henriqueen_US
dc.contributor.authorKurc, Tahsinen_US
dc.contributor.authorSussman, Alanen_US
dc.contributor.authorBorovikov, Eugeneen_US
dc.contributor.authorSaltz, Joelen_US
dc.date.accessioned2004-05-31T23:16:37Z
dc.date.available2004-05-31T23:16:37Z
dc.date.created2002-02en_US
dc.date.issued2002-02-25en_US
dc.description.abstractWhen data analysis applications are employed in a multi-client environment, a data server must service multiple simultaneous queries, each of which may employ complex user-defined data structures and operations on the data. It is then necessary to harness inter- and intra-query commonalities and system resources to improve the performance of the data server. We have developed a framework and customizable middleware to enable reuse of intermediate and final results among queries, through an in-memory semantic cache and user-defined transformation functions. Since resources such as processing power and memory space are limited on the machine hosting the server, effective scheduling of incoming queries and efficient cache replacement policies are challenging issues that must be addressed. We have addressed the scheduling problem in earlier work, and in this paper we describe and evaluate several cache replacement policies. We present experimental evaluation of the policies on a shared-memory parallel system using two applications from different domains. Also UMIACS-TR-2002-21en_US
dc.format.extent792046 bytes
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/1903/1184
dc.language.isoen_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
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-4339en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-2002-21en_US
dc.titleServicing Mixed Data Intensive Query Workloadsen_US
dc.typeTechnical Reporten_US

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