Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/445585
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dc.coverage.spatialAn Efficient prediction based dynamic resource allocation framework in cloud using knowledge based hybrid system
dc.date.accessioned2023-01-13T11:16:06Z-
dc.date.available2023-01-13T11:16:06Z-
dc.identifier.urihttp://hdl.handle.net/10603/445585-
dc.format.extentxix,124p.
dc.languageEnglish
dc.relationp.114-123
dc.rightsuniversity
dc.titleAn Efficient prediction based dynamic resource allocation framework in cloud using knowledge based hybrid system
dc.title.alternative
dc.creator.researcherValarmathi, K
dc.subject.keywordEngineering and Technology
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Software Engineering
dc.subject.keywordCloud Computing
dc.subject.keywordcomputing resources
dc.subject.keywordMicro level
dc.description.note
dc.contributor.guideKanaga Suba Raja, S
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
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01_title.pdfAttached File23.12 kBAdobe PDFView/Open
02_prelim pages.pdf937.3 kBAdobe PDFView/Open
03_content.pdf11.03 kBAdobe PDFView/Open
04_abstract.pdf5.64 kBAdobe PDFView/Open
05_chapter 1.pdf370.31 kBAdobe PDFView/Open
06_chapter 2.pdf210.9 kBAdobe PDFView/Open
07_chapter 3.pdf186.02 kBAdobe PDFView/Open
08_chapter 4.pdf403.48 kBAdobe PDFView/Open
09_chapter 5.pdf274.93 kBAdobe PDFView/Open
10_annexures.pdf68.86 kBAdobe PDFView/Open
80_recommendation.pdf53.76 kBAdobe PDFView/Open


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