Title: An outline of swarm-based metaheuristic approaches for task scheduling in a cloud computing environment

Authors: Surinder Kaur; Jaspreet Singh; Vishal Bharti

Addresses: Department of Computer Science and Engineering, Chandigarh University, Gharuan, Mohali, Punjab, 140413, India ' Department of Computer Science and Engineering, Chandigarh University, Gharuan, Mohali, Punjab, 140413, India ' MMEC, Maharishi Markandeshwar (Deemed to be University), Mullana-Ambala, Haryana, India

Abstract: Cloud computing being a new arena of research, has attracted attention from the research and industrial community. The most challenging issues of cloud service are very specific named such as task scheduling, execution, storage, energy management, and security breaches. Where task scheduling is the process of allocating user requests in terms of tasks in a certain order to maximise the usage of the resources. Through cloud technology platform, services are supplied over the internet, where customers make their requests online, but face lots of issues during task allocation and completion like increased make span, high rate of energy consumption, and migration problems. So, in this survey, an outline study of swarm-based metaheuristic approaches for task scheduling in multi-cloud computing is presented because traditional techniques are not able to solve the existing problems considering systematic examination of those methods that contain a brand-new taxonomy that highlights both their advantages and disadvantages.

Keywords: cloud computing; energy efficiency; task scheduling; virtual machine; meta-heuristic algorithms.

DOI: 10.1504/IJCC.2024.137410

International Journal of Cloud Computing, 2024 Vol.13 No.2, pp.165 - 189

Received: 04 Feb 2023
Accepted: 23 Jun 2023
Published online: 18 Mar 2024 *

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