Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/304303
Title: Clustering Methods for Optimizing Resource Provisioning Relating to Adaptive Group Search and Grey Wolf Techniques
Researcher: Meenakshi.A
Guide(s): Srimathi.H
Keywords: Computer Science
Computer Science Information Systems
Engineering and Technology
University: SRM University
Completed Date: 2019
Abstract: Cloud Computing is a prominent technological fusion that provides computing newlineresources as per the simplified form of service required for undergoing a change in the newlinevarious computer organizations and academic fact finders. Resource Management is a newlineprerequisite component for the efficient execution of the emergent cloud computing newlinetechnology. Furthermore, the critical aspect of resource management technique in newlinecloud computing depends on the Resource Provisioning framework. Resource newlineProvisioning is the process of assigning essential resources by the service providers to newlinedifferent users. newlineThe taxonomy of resource provisioning consists of two main processes namely, newlineResource Discovery and Resource Allocation. These resources are provided to the users newlineas per the availability of applications in the virtualized environment created in newlinedistributed systems newline
Pagination: 
URI: http://hdl.handle.net/10603/304303
Appears in Departments:Department of Computer Science Engineering

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80_recommendation.pdfAttached File250.52 kBAdobe PDFView/Open
abstract.pdf253.6 kBAdobe PDFView/Open
acknowledgement.pdf138.39 kBAdobe PDFView/Open
chapter 1.pdf397.21 kBAdobe PDFView/Open
chapter 2.pdf285.87 kBAdobe PDFView/Open
chapter 3.pdf849.08 kBAdobe PDFView/Open
chapter 4.pdf673.83 kBAdobe PDFView/Open
chapter 5.pdf109.88 kBAdobe PDFView/Open
declaration.pdf349.24 kBAdobe PDFView/Open
preliminary pages.pdf275.54 kBAdobe PDFView/Open
publications.pdf249.65 kBAdobe PDFView/Open
references.pdf397.78 kBAdobe PDFView/Open
title.pdf139.46 kBAdobe PDFView/Open
vitae.pdf134.44 kBAdobe PDFView/Open


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