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dc.contributor.authorDerakhshan, Roozbehen_US
dc.contributor.authorStantic, Belaen_US
dc.contributor.authorKorn, Othmaren_US
dc.contributor.authorDehne, Franken_US
dc.contributor.editorG Goos, J Hartmanisen_US
dc.date.accessioned2017-05-03T11:26:21Z
dc.date.available2017-05-03T11:26:21Z
dc.date.issued2008en_US
dc.date.modified2009-02-13T06:59:10Z
dc.identifier.issn03029743en_US
dc.identifier.urihttp://hdl.handle.net/10072/21295
dc.description.abstractIn order to facilitate efficient query processing, the information contained in data warehouses is typically stored as a set of materialized views. Deciding which views to materialize represent a challenge in order to minimize view maintenance and query processing costs. Some existing approaches are applicable only for small problems, which are far from reality. In this paper we introduce a new approach for materialized view selection using Parallel Simulated Annealing (PSA) that selects views from an input Multiple View Processing Plan (MVPP). With PSA, we are able to perform view selection on MVPPs having hundreds of queries and thousands of views. Also, in our experimental study we show that our method provides a significant improvement in the quality of the obtained set of materialized views over existing heuristic and sequential simulated annealing algorithms.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent335026 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherSpringeren_US
dc.publisher.placeGermanyen_US
dc.publisher.urihttp://www.springerpub.com/default.aspx?pid=0en_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom121en_US
dc.relation.ispartofpageto132en_US
dc.relation.ispartofjournalLecture Notes in Computer scienceen_US
dc.relation.ispartofvolume5022en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchHISTORY AND ARCHAEOLOGYen_US
dc.subject.fieldofresearchcode210000en_US
dc.titleParallel Simulated Annealing for Materialized View Selection in Data Warehousing Environmentsen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.rights.copyrightCopyright 2008 Springer-Verlag. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. The original publication is available at www.springerlink.comen_AU
gro.date.issued2008
gro.hasfulltextFull Text


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