QoS based Modified Bat Algorithm for Task Scheduling in Cloud
Savita Khurana1, Rajesh Kumar Singh2
1Savita Khurana, Department of Computer Science & Engineering, I.K.Gujral Punjab Technical University, Jalandhar (Punjab), India.
2Rajesh Kumar Singh, Department of Computer Science & Application, SUS Institute of Comupter, Tangori, Mohali (Punjab), India.
Manuscript received on 28 March 2019 | Revised Manuscript received on 07 April 2019 | Manuscript Published on 11 April 2019 | PP: 163-168 | Volume-8 Issue-4C, April 2019 | Retrieval Number: D24380484C19/19©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 is prominent technology in the current era. Every company shifted their infrastructure on the cloud to speed up their operation in cost effective way. To speed up the operations, various task scheduling techniques and algorithms were proposed so far but still most of them are not considering both Quality of Service (QoS) and virtual machine optimization factor, which is the upmost important parameter to satisfy the needs of user and effective utilization of resources. This paper propose an approach which considering the multi-objectives QoS parameters-Makespan, cost, user’s budget and resource utilization using nature inspired modified bat algorithm. The objective of the proposed approach is to minimize the Makespan, cost by considering user’s budget and improve the cloud resource utilization. To fulfill and validation of these objective, proposed approach designed a fitness function.
Keywords: Cloud Computing, Task Scheduling, Bat Algorithm, QoS, Makespan.
Scope of the Article: Cloud Computing