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An Efficient Framework To Minimize The Response Time In Resource Scheduling Using A Modified CERS Algorithm

Puttaswamy Gowda, Adarsh (2019) An Efficient Framework To Minimize The Response Time In Resource Scheduling Using A Modified CERS Algorithm. Masters thesis, Dublin, National College of Ireland.

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Abstract

Resource scheduling in cloud has always been a critical research issue for any cloud designer. In order to successfully run a cloud deployment, the designers need to first analyze the load requirement on the cloud, followed by the kind of infrastructure available, and other specifications. Based on these specifications the resource scheduling algorithm is designed. In this work, we have taken into consideration the task length, the number of subtasks for a given task, the processing capabilities of available virtual machines, and developed a modified version of the existing cost-effective resource scheduling (CERS) algorithm. This modified CERS algorithm is based on minimization of response time. In order to achieve this task, we have proposed a simplistic task sorting mechanism which works along with CERS. Due to the task sorting mechanism, there is a reduction in the system's response time, as shorter tasks are executed faster as compared to longer tasks. This helps in improving the overall throughput of CERS. In this study, we describe the various steps and protocols which were followed in order to develop, test and optimize the performance of the CERS algorithm in terms of response time minimization and increase in the overall throughput. The results are compared with greedy algorithm, and insertion sort mechanism which shows that performance of the CERS with quick sorting is gradually better.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

T Technology > T Technology (General) > Information Technology > Cloud computing
Divisions: School of Computing > Master of Science in Cloud Computing
Depositing User: CAOIMHE NI MHAICIN
Date Deposited: 23 Mar 2020 16:29
Last Modified: 23 Mar 2020 16:29
URI: http://norma.ncirl.ie/id/eprint/4140

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