Multiple Query Optimization For Data Analysis Applications on Clusters of SMPs

dc.contributor.authorAndrade, Henriqueen_US
dc.contributor.authorKurc, Tahsinen_US
dc.contributor.authorSussman, Alanen_US
dc.contributor.authorSaltz, Joelen_US
dc.date.accessioned2004-05-31T23:14:06Z
dc.date.available2004-05-31T23:14:06Z
dc.date.created2001-11en_US
dc.date.issued2001-11-21en_US
dc.description.abstractThis paper is concerned with the efficient execution of multiple query workloads on a cluster of SMPs. We target applications that access and manipulate large scientific datasets. Queries in these applications involve user-defined processing operations on data and distributed data structures to hold intermediate and final results. Our goal is to implement system components to leverage previously computed query results and to effectively utilize processing power and aggregated I/O bandwidth on SMP nodes so that both single queries and multi-query batches can be efficiently executed. (Also referenced as UMIACS-TR-2001-78)en_US
dc.format.extent592713 bytes
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/1903/1162
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-4300en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-2001-78en_US
dc.titleMultiple Query Optimization For Data Analysis Applications on Clusters of SMPsen_US
dc.typeTechnical Reporten_US

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