Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/459091
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dc.coverage.spatialNature inspired algorithms and fuzzy Based clustering methods for multiserver Load balancing in cloud Computing
dc.date.accessioned2023-02-16T11:05:30Z-
dc.date.available2023-02-16T11:05:30Z-
dc.identifier.urihttp://hdl.handle.net/10603/459091-
dc.format.extentxviii,174p.
dc.languageEnglish
dc.relationp.163-173
dc.rightsuniversity
dc.titleNature inspired algorithms and fuzzy Based clustering methods for multiserver Load balancing in cloud Computing
dc.title.alternative
dc.creator.researcherVinothini,C
dc.subject.keywordEngineering and Technology
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordcloud
dc.subject.keywordmultiserver
dc.description.note
dc.contributor.guideBalasubramanie ,P
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2021
dc.date.awarded2021
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 File21.25 kBAdobe PDFView/Open
02_prelim pages.pdf3.12 MBAdobe PDFView/Open
03_content.pdf148.44 kBAdobe PDFView/Open
04_abstract.pdf180.82 kBAdobe PDFView/Open
05_chapter 1.pdf1.07 MBAdobe PDFView/Open
06_chapter 2.pdf280.09 kBAdobe PDFView/Open
07_chapter 3.pdf1.64 MBAdobe PDFView/Open
08_chapter 4.pdf1.8 MBAdobe PDFView/Open
09_chapter 5.pdf1.72 MBAdobe PDFView/Open
10_annexures.pdf123.07 kBAdobe PDFView/Open
80_recommendation.pdf65.36 kBAdobe PDFView/Open


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