Data and Activity Representation for Grid Computing

dc.contributor.authorKarnik, Amiten
dc.contributor.authorRibbens, Calvin J.en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2013-06-19T14:37:04Zen
dc.date.available2013-06-19T14:37:04Zen
dc.date.issued2002-07-01en
dc.description.abstractComputational grids are becoming increasingly popular as an infrastructure for computa- tional science research. The demand for high-level tools and problem solving environments has prompted active research in Grid Computing Environments (GCEs). Many GCEs have been one-o development eorts. More recently, there have been many eorts to dene component ar- chitectures for constructing important pieces of a GCE. This paper examines another approach, based on a `data-centric' framework for building powerful, context-aware GCEs spanning mul- tiple layers of abstraction. We describe a scheme for representing data and activities in a GCE and outline various tools under development which use this representation.en
dc.format.mimetypeapplication/pdfen
dc.identifierhttp://eprints.cs.vt.edu/archive/00000598/en
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00000598/01/hpdc.pdfen
dc.identifier.trnumberTR-02-13en
dc.identifier.urihttp://hdl.handle.net/10919/20074en
dc.language.isoenen
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen
dc.relation.ispartofComputer Science Technical Reportsen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectParallel computationen
dc.titleData and Activity Representation for Grid Computingen
dc.typeTechnical reporten
dc.type.dcmitypeTexten

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