Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/224670
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dc.coverage.spatial
dc.date.accessioned2018-12-26T11:10:02Z-
dc.date.available2018-12-26T11:10:02Z-
dc.identifier.urihttp://hdl.handle.net/10603/224670-
dc.description.abstractGrid Computing inspired by electrical power grid is an emerging trend for making easy access to computing resources. Resource Management in computational grids is a compute intensive task. A new area of research has been setup that use meta-heuristics to find optimal / near optimal solution. This thesis focuses on the use of meta-heuristics like GA, SA, ACO or some hybrid techniques for optimizing resource management. newline
dc.format.extentxv, 129p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleMeta heuristic techniques for grid resource management
dc.title.alternative
dc.creator.researcherSingh, Bhupinder
dc.subject.keywordEngineering and Technology,Computer Science,Computer Science Hardware and Architecture
dc.subject.keywordGrid Computing
dc.subject.keywordMeta heuristic
dc.description.note
dc.contributor.guideBawa, Seema
dc.publisher.placePatiala
dc.publisher.universityThapar Institute of Engineering and Technology
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registered
dc.date.completed2009
dc.date.awarded
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science and Engineering

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file1(title).pdf121 kBAdobe PDFView/Open
file2(certificate).pdf26.16 kBAdobe PDFView/Open
file3(preliminary pages).pdf132.93 kBAdobe PDFView/Open
file4(chapter 1).pdf668.56 kBAdobe PDFView/Open
file5(chapter 2).pdf837.33 kBAdobe PDFView/Open
file6(chapter 3).pdf128.15 kBAdobe PDFView/Open
file7(chapter 4).pdf250.8 kBAdobe PDFView/Open
file8(chapter 5).pdf751.69 kBAdobe PDFView/Open
file9(chapter 6).pdf151.38 kBAdobe PDFView/Open


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