Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/533036
Title: Improved Load Balancing For Cloud Computing Using Cluster Based Approaches
Researcher: Pearly Charles
Guide(s): Vimala, S
Keywords: Computer Science
Computer Science Artificial Intelligence
Engineering and Technology
University: Mother Teresa Womens University
Completed Date: 2023
Abstract: Cloud Computing is an evolving technology that is used for sharing computing resources online. Here, every resource is offered as a service, like software, hardware, and infrastructure, over the internet. This technology provides all the services based on the pay-as-you-go (PAYG) model. Though the technology comes with abundant services and wide benefits in these areas, it also faces difficult situations related to privacy, security, reliability, etc. that are correlated to this technology. The toughest challenge encountered in Cloud Computing is Load Balancing (LB), where the issues are related to turn-around time, memory allocation, network cost, performance, and response time. When load balancing is executed efficiently, there is a subsequent increase in the performance of the distributed environment. Recent research was carried out to prevent issues caused by under-loading and overloading in VMs (Virtual Machines). newline
Pagination: Xxii,150p.
URI: http://hdl.handle.net/10603/533036
Appears in Departments:Department of Computer Science

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01_title.pdfAttached File112.34 kBAdobe PDFView/Open
02_certificate.pdf379.79 kBAdobe PDFView/Open
03_abstract.pdf146.56 kBAdobe PDFView/Open
04_declaration.pdf333.81 kBAdobe PDFView/Open
05_acknowledgement.pdf333.08 kBAdobe PDFView/Open
06_contents.pdf447.29 kBAdobe PDFView/Open
07_list of tables.pdf306.35 kBAdobe PDFView/Open
08_list of figures.pdf215.14 kBAdobe PDFView/Open
09_abbreviations.pdf201.35 kBAdobe PDFView/Open
10_chapter 1.pdf1.13 MBAdobe PDFView/Open
11_chapter 2.pdf244.09 kBAdobe PDFView/Open
12_chapter 3.pdf719.19 kBAdobe PDFView/Open
13_chapter 4.pdf746.72 kBAdobe PDFView/Open
14_chapter 5.pdf1.34 MBAdobe PDFView/Open
15_chapter 6.pdf2.43 MBAdobe PDFView/Open
16_chapter 7.pdf1.73 MBAdobe PDFView/Open
17_chapter 8.pdf14.28 kBAdobe PDFView/Open
18_chapter 9.pdf5.36 kBAdobe PDFView/Open
19_bibliography.pdf337.48 kBAdobe PDFView/Open
80_recommendation.pdf115.21 kBAdobe PDFView/Open
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