An Efficient Scheduling Algorithm to Improve the Use of Resources in Cloud
Misba Farheen1, Santosh Anand2, Somnath Sinha3
1Misba Farheen, Department of Computer Science, Amrita School of Arts and Sciences, Mysuru (Karnataka), India.
2Santosh Anand, Department of Computer Science, Amrita School of Arts and Sciences, Mysuru (Karnataka), India.
3Somnath Sinha Department of Computer Science, Amrita School of Arts and Sciences, Mysuru (Karnataka), India.
Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 1761-1764 | Volume-8 Issue-5, June 2019 | Retrieval Number: E7597068519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Cloud Computing Technology is currently everywhere and the popularity is expanding day by day. It is a stage for providing unique pool of resources and virtualization to the Cloud clients. The most significant challenge is to have an efficient Cloud Scheduling algorithm. The proper use of resources is an elemental aspect of Cloud Computing. In this paper, An Enhanced Particle Swarm Optimization (PSO) protocol is proposed and this study compares the proposed Enhanced PSO strategy with existing standard PSO algorithm by having this algorithm implemented on CloudSim toolkit. The results obtained that the presented Enhanced PSO protocol helps to obtain minimum execution time of jobs, maintains the high Throughput and improves the Resource Utilization compared with the other Scheduling algorithms Evaluated in the present paper.
Keywords: Cloud Computing, Scheduling Algorithm, PSO, Enhanced PSO, FCFS, RR, CloudSim.
Scope of the Article: Cloud Computing