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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 |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 44.26 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 2.32 MB | Adobe PDF | View/Open | |
03_content.pdf | 96.54 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 90.78 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 195.67 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 282.08 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 362.39 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 494.51 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 812.9 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 501.53 kB | Adobe PDF | View/Open | |
11_chapter 7.pdf | 88.53 kB | Adobe PDF | View/Open | |
12_annexures.pdf | 128.11 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 73.4 kB | Adobe PDF | View/Open |
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