Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/333270
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dc.coverage.spatialCertain investigations on meta heuristic based workflow scheduling in cloud computing environment
dc.date.accessioned2021-07-26T06:52:18Z-
dc.date.available2021-07-26T06:52:18Z-
dc.identifier.urihttp://hdl.handle.net/10603/333270-
dc.description.abstractCloud computing is a new paradigm for distributed computing that delivers infrastructure, platform and software (application) as services and made available as subscription-based services in a pay-as-you-go model to consumers. A workflow management system is mainly used for handling the tasks by computing the planning and details are integrated since the workflows tasks are evaluated on resources by cloud environment. Scheduling of workflows represents as finding an exact execution sequence for workflow activities. Handling the activities belongs to implementation of cloud-based circumstance was concentrated by the strategy of workflow scheduling. While performing the utilization of workflow scheduling, pay-per-use facility was regulated with the QOS parameters specified by the client. Reasonable arraignment of discrete activities was established with while implementation of workflow scheduling. For accomplishing best solution, issues related with scheduling might be involved in the assignment of activities with restricted reserves. Fundamental components involved in the issues related with scheduling might be listed as activities and server which provides the necessary facilities along with resources that characterizes the broader area of applicable entities. Scholars performed huge quantity of investigation with the respect to issues related with scheduling that attains large amount of concentration in various areas. For accomplishing the best way of allocating as required by client will be the motivation of cloud computing. Enhancement in complete throughput for cloud circumstance by means of providing particular motivations that involved in providing the best make span, Quality of Facilities, Stability of Load, Commercial concept along with efficient utilization of resource which are the factors to be considered. newline
dc.format.extentxvi,145p.
dc.languageEnglish
dc.relationp.139-144
dc.rightsuniversity
dc.titleCertain investigations on meta heuristic based workflow scheduling in cloud computing environment
dc.title.alternative
dc.creator.researcherSounder Rajan T
dc.subject.keywordCloud computing
dc.subject.keywordWorkflow management
dc.subject.keywordCloud environment
dc.description.note
dc.contributor.guideSelvam, M and Geetha, K
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

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01_title.pdfAttached File159.46 kBAdobe PDFView/Open
02_certificates.pdf108.07 kBAdobe PDFView/Open
03_vivaproceedings.pdf167.8 kBAdobe PDFView/Open
04_bonafidecertificate.pdf138.14 kBAdobe PDFView/Open
05_abstracts.pdf301.01 kBAdobe PDFView/Open
06_acknowledgements.pdf145.95 kBAdobe PDFView/Open
07_contents.pdf189.97 kBAdobe PDFView/Open
08_listoftables.pdf177.34 kBAdobe PDFView/Open
09_listoffigures.pdf180.69 kBAdobe PDFView/Open
10_listofabbreviations.pdf300.84 kBAdobe PDFView/Open
11_chapter1.pdf607.88 kBAdobe PDFView/Open
12_chapter2.pdf483.2 kBAdobe PDFView/Open
13_chapter3.pdf358.05 kBAdobe PDFView/Open
14_chapter4.pdf712.03 kBAdobe PDFView/Open
15_chapter5.pdf843.66 kBAdobe PDFView/Open
16_chapter6.pdf640.21 kBAdobe PDFView/Open
17_chapter7.pdf210.05 kBAdobe PDFView/Open
18_conclusion.pdf307.25 kBAdobe PDFView/Open
19_appendices.pdf302.66 kBAdobe PDFView/Open
20_references.pdf470.41 kBAdobe PDFView/Open
21_listofpublications.pdf249.15 kBAdobe PDFView/Open
80_recommendation.pdf182.7 kBAdobe PDFView/Open


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