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http://hdl.handle.net/10603/302438
Title: | Novel optimized rescheduling algorithms for a multilayer cloud environment |
Researcher: | Selvi S |
Guide(s): | Kalaavathi B |
Keywords: | Cloud environment Optimization Google Drive |
University: | Anna University |
Completed Date: | 2019 |
Abstract: | Cloud Computing is an improvised version of distributed computing and made its vital place in our day to day life Cloud offers a variety of applications to the humans in the form of Google Drive Amazon web services Windows Azure and so on It is an utility based cost consumption model that can be accessed only through internet Cloud has reached its usage in home offices Government sectors business enterprises and other organizations Other than its increasing demands and flexibility in usages there arise black holes in various dimensions such as admission feedback management monitoring service level agreement security scheduling etc The researchers have diverted their attention towards eliminating the above issues in their own proposed methodologies They are striving hard to mitigate the impact of the above said issues and put efforts to raise the confident among the cloud users This research paper is a small drop in the ocean and the view is projected in the direction of optimizing the scheduling mechanism The objective of this research focuses on the major areas like better resource utilization rate reduction in the idle state of the resources completion of the execution within the planned budget and deadline offering a higher quality of service to the users improving the system response time reducing the number of job rejections and improving the status of slower executing tasks These objectives are the root causes for the generation of five modules in this research The first module is the initial step taken towards scheduling optimization. newlineKey Words newline newline |
Pagination: | xxvii,234. |
URI: | http://hdl.handle.net/10603/302438 |
Appears in Departments: | Faculty of Information and Communication Engineering |
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