Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/460623
Title: Resource allocation and scheduling with load balancing to improve QOS parameters in green cloud computing resource allocation and scheduling with load balancing to improve QOS parameters in green cloud computing
Researcher: Geetha P
Guide(s): Rene Robin C R
Keywords: Engineering and Technology
Computer Science
Computer Science Information Systems
Resource Allocation
Resource Scheduling
Load Balancing
University: Anna University
Completed Date: 2022
Abstract: Cloud Computing provides the solution for the various challenges such as storage and processing of high volume data, with low-cost, high-speed, on-demand and pay-per-use for computer hardware and software. Furthermore, the load imbalance is the major problem in Cloud Computing. To solve the above problem, needs an efficient algorithm to enhance the greener environments and Quality of Services (QoS). Green Cloud Computing (GCC) plays a major role for ensuring growth in Cloud computing as sustainable environment. GCC uses hardware and software to deliver a service over a network for data, infrastructure, platform, storage and application services. One of the major challenges in cloud applications is Quality of Service (QoS), during allocation of resources to the users with guarantee for performance, availability and reliability. The problem of improper utilization of cloud resources paves way for inefficiency and environmental hazard as well. Also, improving the system performance through QoS in cloud computing is a crucial issue. newlineGreen Cloud Computing (GCC) is the combination of green communications and cloud computing technology. The advantages of GCC are Data energy savings, Cost savings, Recycling process, Brand Strengthen, Less Pollution, GHG Emission and Chemical Exposure. The GCC will minimize energy utilization of the resources and improve power effectiveness and reduce carbon dioxide emissions. newline
Pagination: xviii,160p.
URI: http://hdl.handle.net/10603/460623
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File44.26 kBAdobe PDFView/Open
02_prelim pages.pdf2.32 MBAdobe PDFView/Open
03_content.pdf96.54 kBAdobe PDFView/Open
04_abstract.pdf90.78 kBAdobe PDFView/Open
05_chapter 1.pdf195.67 kBAdobe PDFView/Open
06_chapter 2.pdf282.08 kBAdobe PDFView/Open
07_chapter 3.pdf362.39 kBAdobe PDFView/Open
08_chapter 4.pdf494.51 kBAdobe PDFView/Open
09_chapter 5.pdf812.9 kBAdobe PDFView/Open
10_chapter 6.pdf501.53 kBAdobe PDFView/Open
11_chapter 7.pdf88.53 kBAdobe PDFView/Open
12_annexures.pdf128.11 kBAdobe PDFView/Open
80_recommendation.pdf73.4 kBAdobe PDFView/Open
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