Metaheuristics based energy efficient task scheduling scheme for cyber-physical systems environment

Hilal, Anwer Mustafa and Hassan Abdalla Hashim, Aisha and Obayya, Marwa and Gaddah, Abdulbaset and Mohamed, Abdullah and Yaseen, Ishfaq and Rizwanullah, Mohammed and Zamani, Abu Sarwar (2022) Metaheuristics based energy efficient task scheduling scheme for cyber-physical systems environment. Sustainability, 14 (24). p. 16539. ISSN 2071-1050

PDF - Published Version Restricted to Registered users only Download (5MB) | Request a copy

Abstract

The widespread applicability of cyber-physical systems (CPS) necessitates efficient schemes to optimize the performance of both computing units and physical plant. Task scheduling (TS) in CPS is of vital importance to enhance resource usage and system efficiency. Traditional task schedulers in embedded real-time systems are unable to fulfill the performance requirements of CPS because of the task diversity and system heterogeneities. In this study, we designed a new artificial rabbit optimization enabled energy-efficient task-scheduling scheme (ARO-EETSS) for the CPS environment. The presented ARO-EETSS technique is based on the natural survival practices of rabbits, comprising detour foraging and arbitrary hiding. In the presented ARO-EETSS technique, the TS process is performed via the allocation of n autonomous tasks to m different resources. In addition, the objective function is based on the reduction of task completion time and the effective utilization of resources. In order to demonstrate the higher performance of the ARO-EETSS system, a sequence of simulations was implemented. The comparison study underlined the improved performance of the ARO-EETSS system in terms of different measures.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Task scheduling; Internet of Things; cyber physical system; artificial rabbit optimization; high performance computing
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Dr. Aisha Hassan Abdalla Hashim
Date Deposited:	15 Dec 2022 08:20
Last Modified:	15 Dec 2022 08:35
URI:	http://irep.iium.edu.my/id/eprint/101881

Actions (login required)

View Item