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dc.contributor.authorXiang, Helen
dc.date.accessioned2014-03-03T14:28:56Z
dc.date.available2014-03-03T14:28:56Z
dc.date.issued2013
dc.identifier.citationXiang , H 2013 , Local Join Optimization over a Heterogeneously Distributed Scientific Database . in Procs 2013 IEEE International Conference on Big Data . , 6691781 , IEEE , pp. 41-45 , 2013 IEEE Int Conf on Big Data , Santa Clara , United States , 6/10/13 . https://doi.org/10.1109/BigData.2013.6691781
dc.identifier.citationconference
dc.identifier.isbn978-1-4799-1293-3
dc.identifier.otherPURE: 2804409
dc.identifier.otherPURE UUID: 0bf99386-e606-4dd4-9414-4b4cb3218593
dc.identifier.otherScopus: 84893254176
dc.identifier.urihttp://hdl.handle.net/2299/12978
dc.description© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
dc.description.abstractThis paper begins by discussing the running of the first distributed queries across a heterogeneously distributed scientific database between Manchester and Portsmouth. It then investigates the join operations over the distributed terabyte datasets. Finally, we discuss our experiences of distributed query optimization by pushing the local join operations to the database level.en
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartofProcs 2013 IEEE International Conference on Big Data
dc.rightsOpen
dc.titleLocal Join Optimization over a Heterogeneously Distributed Scientific Databaseen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.description.versiontypeFinal Accepted Version
dcterms.dateAccepted2013
rioxxterms.versionAM
rioxxterms.versionofrecordhttps://doi.org/10.1109/BigData.2013.6691781
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue
herts.rights.accesstypeOpen


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