A workload-driven approach to database query processing in the cloud

dc.contributor.authorGuabtni, Adnene
dc.contributor.authorRanjan, Rajiv
dc.contributor.authorRabhi, Fethi A.
dc.date.accessioned2015-12-13T22:31:37Z
dc.date.issued2013
dc.date.updated2015-12-11T09:01:51Z
dc.description.abstractThis paper is concerned with data provisioning services (information search, retrieval, storage, etc.) dealing with a large and heterogeneous information repository. Increasingly, this class of services is being hosted and delivered through Cloud infrastr
dc.identifier.issn0920-8542
dc.identifier.urihttp://hdl.handle.net/1885/75338
dc.publisherSpringer
dc.sourceThe Journal of Supercomputing
dc.titleA workload-driven approach to database query processing in the cloud
dc.typeJournal article
local.bibliographicCitation.issue3
local.bibliographicCitation.lastpage736
local.bibliographicCitation.startpage722
local.contributor.affiliationGuabtni, Adnene, University of New South Wales
local.contributor.affiliationRanjan, Rajiv, College of Engineering and Computer Science, ANU
local.contributor.affiliationRabhi, Fethi A., University of New South Wales
local.contributor.authoruidRanjan, Rajiv, u2507046
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor160301 - Family and Household Studies
local.identifier.absfor080604 - Database Management
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationf5625xPUB4579
local.identifier.citationvolume63
local.identifier.doi10.1007/s11227-011-0717-y
local.identifier.scopusID2-s2.0-84886716659
local.identifier.thomsonID000315162400007
local.type.statusPublished Version

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