Indian Journal of Science and Technology
Year: 2020, Volume: 13, Issue: 35, Pages: 3675-3684
Jitendra Kumar Samriya1, Narander Kumar2*
1Research Scholar, Department of Computer Science, Babasaheb Bhimrao Ambedkar University (A Central University), Lucknow, 226025, India
2Assistant Professor, Department of Computer Science, Babasaheb Bhimrao Ambedkar University (A Central University), Lucknow, 226025, India
Email: [email protected]
Received Date:08 August 2020, Accepted Date:13 September 2020, Published Date:05 October 2020
Objectives: To perform task scheduling with minimising the makespan through implementing an effective load balancing approach. Methods: In this study, the Fuzzy Topsis algorithm (FTPOSIS) is used for the task scheduling and the makespan is minimised with the effective load balancing by modelling the whale optimization algorithm (WOA). Findings: This proposed model controls the admittance of the requests by achieving target QoS in terms of response time. Hence, the admittance is controlled so that the requests which are accepted do not face a delay greater than the time limit stated in the SLA. Using CloudSim tool the simulation is done and the results are exhibited. The effectiveness of the intended algorithm is compared with the existing methods.Novelty: The novelty of this study includes increasing the throughput of the cloud system by reducing the makespan of the cloud scheduling process.Reducing SLA violations and improving the QoS can efficiently give assurance to reduce the delay of transmission, packet loss rate of data. Attaining a balance between constrained resources and QoS.
Keywords: Cloud computing system; load balancing; scheduling; makespan;FTOPSIS; WOA; task scheduling
© 2020 Samriya & Kumar.This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee).
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