Title: QoS-driven hybrid task scheduling algorithm in a cloud computing environment

Authors: Sirisha Potluri; Sachi Nandan Mohanty; Sarita Mohanty

Addresses: Department of Computer Science and Engineering, Faculty of Science and Technology (IcfaiTech), ICFAI Foundation for Higher Education, Hyderabad, Telangana, India ' Department of Computer Science & Engineering, Vardhaman College of Engineering (Autonomous), Hyderabad, India ' Department of Computer Science & Application, CPGS, OUAT, Bhubaneswar, Odisha, India

Abstract: Cloud computing environment is a growing technology of distributed computing. Typically using cloud computing the services are deployed with individuals or organisations and allow sharing of resources, services, and information based on the demand of users over the internet. CloudSim is a simulator tool used to simulate cloud scenarios. QoS-driven hybrid task scheduling architecture and algorithm for dependent and independent tasks in a cloud computing environment is proposed in this paper. The results are compared against the Min-Min task scheduling algorithm, QoS-driven independent task scheduling algorithm and QoS-driven hybrid task scheduling algorithm. QoS-driven hybrid task scheduling algorithm is assessed with time and cost as QoS parameters and gives a better result for these QoS parameters.

Keywords: cloud computing; task scheduling; quality of service.

DOI: 10.1504/IJGUC.2023.132614

International Journal of Grid and Utility Computing, 2023 Vol.14 No.4, pp.311 - 319

Received: 21 Nov 2019
Accepted: 01 May 2020

Published online: 31 Jul 2023 *

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