Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/458891
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dc.coverage.spatialAn empirical study on optimal Resource scheduling techniques for Cloud infrastructure services
dc.date.accessioned2023-02-16T09:52:27Z-
dc.date.available2023-02-16T09:52:27Z-
dc.identifier.urihttp://hdl.handle.net/10603/458891-
dc.description.abstractCloud computing is the provider of computing services ranging from applications to storage, infrastructure and processing power usually over the internet. In present computing world, cloud computing is an emerging concept in distributed computing that provides computing facilities, development platform, and applications as services. Cloud computing means IT outsourcing ; others describes the cloud computing as any computing service provided over the internet or a similar network. newlineIt is better for the enterprises to access anything from applications to storage from a cloud service provider on rent than possessing their own computing infrastructure or data centres. So that enterprises can stay away from the direct cost and difficulty of maintaining their own IT infrastructure, and the enterprises simply use the services and pay rent for what they use. Cloud computing is an emerging technology in Information Technology environments equipped with massive infrastructure and resources. There are situations in which several requests could be made to a single server and the server gets overloaded. But there are servers which sit idle or under loaded. The situation leads to poor response time and throughput. In addition, the overloaded server faces high overhead to workout massive requests and it may lead to server crash. The under loaded and idle servers lead to poor resource utilization. In both cases, the enterprise loses the revenue. So the enterprises badly need a mechanism to evenly distribute the workload among all servers. Load balancing is such a mechanism that reduces the overhead of the overloaded servers by redirecting some tasks to under loaded or idle servers newline
dc.format.extentxiv,124p.
dc.languageEnglish
dc.relationp.112-123
dc.rightsuniversity
dc.titleAn empirical study on optimal Resource scheduling techniques for Cloud infrastructure services
dc.title.alternative
dc.creator.researcherPeer mohamed ziyath. S
dc.subject.keywordEngineering and Technology
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordTask Scheduling
dc.subject.keywordOptimization
dc.subject.keywordMetaheuristic
dc.description.note
dc.contributor.guideSenthilkumar, 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 File25.25 kBAdobe PDFView/Open
02_prelim pages.pdf497.86 kBAdobe PDFView/Open
03_content.pdf379.56 kBAdobe PDFView/Open
04_abstract.pdf286.03 kBAdobe PDFView/Open
05_chapter 1.pdf877.97 kBAdobe PDFView/Open
06_chapter 2.pdf497.45 kBAdobe PDFView/Open
07_chapter 3.pdf931.53 kBAdobe PDFView/Open
08_chapter 4.pdf865.07 kBAdobe PDFView/Open
09_chapter 5.pdf736.77 kBAdobe PDFView/Open
10_annexures.pdf187.03 kBAdobe PDFView/Open
80_recommendation.pdf158.44 kBAdobe PDFView/Open


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