Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/418466
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dc.coverage.spatial
dc.date.accessioned2022-11-11T05:09:16Z-
dc.date.available2022-11-11T05:09:16Z-
dc.identifier.urihttp://hdl.handle.net/10603/418466-
dc.description.abstractCloud computing provides unprecedented advantages of using computing resources with very less efforts and cost. The energy utilization in cloud data centres has forced the cloud service providers to raise the expense of its services and, has increased the carbon footprints in the environment. For this purpose, many static bin-packing algorithms and live VM migration algorithms exist which can reduce energy by some percentage, but with new era of digitization, advanced and dynamic techniques are required which can serve heterogeneous users and random users requests. newline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDynamic Management of Energy Enabled Cloud Data Centres
dc.title.alternative
dc.creator.researcherNeha Gupta
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Interdisciplinary Applications
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideKamali Gupta
dc.publisher.placeChandigarh
dc.publisher.universityChitkara University, Punjab
dc.publisher.institutionFaculty of Computer Science
dc.date.registered2019
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Computer Science

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80_recommendation.pdfAttached File206.08 kBAdobe PDFView/Open
abstract.pdf108.44 kBAdobe PDFView/Open
annexures.pdf321.17 kBAdobe PDFView/Open
chapter 1.pdf500.25 kBAdobe PDFView/Open
chapter 2.pdf378.97 kBAdobe PDFView/Open
chapter 3.pdf125.56 kBAdobe PDFView/Open
chapter 4.pdf230.28 kBAdobe PDFView/Open
chapter 5.pdf763.68 kBAdobe PDFView/Open
chapter 6.pdf586.24 kBAdobe PDFView/Open
chapter 7.pdf107.18 kBAdobe PDFView/Open
content.pdf152.07 kBAdobe PDFView/Open
preliminary pages.pdf334.1 kBAdobe PDFView/Open
title page.pdf119.81 kBAdobe PDFView/Open


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