Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/423415
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dc.coverage.spatial
dc.date.accessioned2022-12-09T06:37:44Z-
dc.date.available2022-12-09T06:37:44Z-
dc.identifier.urihttp://hdl.handle.net/10603/423415-
dc.description.abstractOne of the key challenges in a cloud data center is how do we place virtual machines on physical machines. Mapping virtual machines onto physical machines is known as virtual machine placement. The optimal virtual machine placement improves resource utilization and power consumption. The parameters such as resource wastage, overloaded physical machines and number of active physical machines are improved by properly mapping the virtual machines. The improper mapping between virtual machines and physical machines increases the overloaded and under-loaded physical machines and virtual machine migration. Since the resources are not properly used, more number of active physical machines are put into service. Therefore, physical machine consolidation techniques are needed to rearrange the virtual machines from overloaded and under-loaded physical machines. newlineTo place a virtual machine on a physical machine, various resource constraints are checked to see whether the physical machine is having the resource capacity demanded by the virtual machine or not. If the physical machine is not having sufficient resource capacity, then the next physical machine is checked. In most of the existing research works on virtual machine placement algorithms, the resource demands of the virtual machines are compared against the total resource capacity of physical machines newline
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dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDesign and Development of Efficient Multi Core Aware Virtual Machine Placement Algorithms for Cloud Data Centers
dc.title.alternative
dc.creator.researcherNagadevi, S
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Software Engineering
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideKasmir Raja, S V
dc.publisher.placeKattankulathur
dc.publisher.universitySRM Institute of Science and Technology
dc.publisher.institutionDepartment of Computer Science Engineering
dc.date.registered
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science Engineering

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01_title.pdfAttached File172.65 kBAdobe PDFView/Open
02_preliminary page.pdf453.55 kBAdobe PDFView/Open
03_content.pdf264.21 kBAdobe PDFView/Open
04_abstract.pdf152.3 kBAdobe PDFView/Open
05_chapter 1.pdf538.01 kBAdobe PDFView/Open
06_chapter 2.pdf293.36 kBAdobe PDFView/Open
07_chapter 3.pdf1.13 MBAdobe PDFView/Open
08_chapter 4.pdf875.43 kBAdobe PDFView/Open
09_chapter 5.pdf744.47 kBAdobe PDFView/Open
10_chapter 6.pdf628.15 kBAdobe PDFView/Open
11_chapter 7.pdf158.4 kBAdobe PDFView/Open
12_annexures.pdf606.96 kBAdobe PDFView/Open
80_recommendation.pdf197.46 kBAdobe PDFView/Open


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