Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/522319
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dc.coverage.spatialMulti object performance aware scientific work flow scheduling on inter cloud environment
dc.date.accessioned2023-11-01T09:33:54Z-
dc.date.available2023-11-01T09:33:54Z-
dc.identifier.urihttp://hdl.handle.net/10603/522319-
dc.description.abstractOne of the newest cutting-edge developments, cloud computing newlineoffers pay-as-you-use on-demand computer services over the internet. There newlineis improved productivity, given that the cloud offers businesses a wide range newlineof services so upfront costs are done away with, along with the complexity newlineinvolved in setting up and maintaining the infrastructure necessary. Consumer newlineaccessibility to quotunlimitedquot computer resources on demand is a key newlinecomponent of cloud computing. Single-cloud resources, however, are newlinetypically constrained and might not be able to keep pace with sudden newlineincreases in user demands. The inter-cloud model facilitates resource-sharing newlinebetween clouds, with each cloud tapping into the resources of another when newlinethe resources in question are too scarce to meet consumer demands newlineadequately. An intrinsic characteristic of cloud computing is the dynamic newlinescheduling of tasks on virtual machines (VMs), depending on the resources at newlinehand. Cloud computing helps manage a variety of virtualized resources, newlinethough task scheduling is a major challenge. In the cloud, given that a client newlinemay utilize several thousand virtualized assets for every task, manual task newlinescheduling is no feasible solution. The fundamental idea driving workflow newlinescheduling is the scheduling of tasks to minimize the makespan and cost. newlineSimilarly, security is a key parameter that is to be ensured in task scheduling, newlineconsidering scheduling takes place within the boundary of a third party. There newlinehas been a lot research with scope for improvement, in recent times, on newlineworkflow scheduling in the cloud. In this study, an efficient multi-objective newlineworkflow scheduling approach in an inter-cloud environment is proposed for newlineoptimal performance. To this end, three concepts are developed in newlinedifferent phases. newline newline
dc.format.extentxvi,134p.
dc.languageEnglish
dc.relationP.123-133
dc.rightsuniversity
dc.titleMulti object performance aware scientific work flow scheduling on inter cloud environment
dc.title.alternative
dc.creator.researcherArravinth, J
dc.subject.keywordcloud computing
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordcomputer services
dc.subject.keywordConsumer accessibility
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideManjula, D
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions21 CM
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File591.03 kBAdobe PDFView/Open
02_prelim_pages.pdf2.05 MBAdobe PDFView/Open
03_contents.pdf380.99 kBAdobe PDFView/Open
04_abstracts.pdf349.95 kBAdobe PDFView/Open
05_chapter1.pdf1.14 MBAdobe PDFView/Open
06_chapter2.pdf586.42 kBAdobe PDFView/Open
07_chapter3.pdf728.36 kBAdobe PDFView/Open
08_chapter4.pdf3.25 MBAdobe PDFView/Open
09_chapter5.pdf819.67 kBAdobe PDFView/Open
10_chapter6.pdf746.19 kBAdobe PDFView/Open
11_annexures.pdf73.02 kBAdobe PDFView/Open
80_recommendation.pdf48.01 kBAdobe PDFView/Open


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