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

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 embed...

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Main Authors: Hilal, Anwer Mustafa, Hassan Abdalla Hashim, Aisha, Obayya, Marwa, Gaddah, Abdulbaset, Mohamed, Abdullah, Yaseen, Ishfaq, Rizwanullah, Mohammed, Zamani, Abu Sarwar
Format: Article
Language:English
Published: Multidisciplinary Digital Publishing Institute (MDPI) 2022
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Online Access:http://irep.iium.edu.my/101881/7/101881_Metaheuristics%20based%20energy%20efficient%20task%20scheduling%20scheme.pdf
http://irep.iium.edu.my/101881/
http://doi.org/10.3390/su142416539
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spelling my.iium.irep.1018812022-12-15T00:35:14Z http://irep.iium.edu.my/101881/ Metaheuristics based energy efficient task scheduling scheme for cyber-physical systems environment Hilal, Anwer Mustafa Hassan Abdalla Hashim, Aisha Obayya, Marwa Gaddah, Abdulbaset Mohamed, Abdullah Yaseen, Ishfaq Rizwanullah, Mohammed Zamani, Abu Sarwar TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices 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. Multidisciplinary Digital Publishing Institute (MDPI) 2022 Article PeerReviewed application/pdf en http://irep.iium.edu.my/101881/7/101881_Metaheuristics%20based%20energy%20efficient%20task%20scheduling%20scheme.pdf 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 http://doi.org/10.3390/su142416539 10.3390/su142416539
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
spellingShingle TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Hilal, Anwer Mustafa
Hassan Abdalla Hashim, Aisha
Obayya, Marwa
Gaddah, Abdulbaset
Mohamed, Abdullah
Yaseen, Ishfaq
Rizwanullah, Mohammed
Zamani, Abu Sarwar
Metaheuristics based energy efficient task scheduling scheme for cyber-physical systems environment
description 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.
format Article
author Hilal, Anwer Mustafa
Hassan Abdalla Hashim, Aisha
Obayya, Marwa
Gaddah, Abdulbaset
Mohamed, Abdullah
Yaseen, Ishfaq
Rizwanullah, Mohammed
Zamani, Abu Sarwar
author_facet Hilal, Anwer Mustafa
Hassan Abdalla Hashim, Aisha
Obayya, Marwa
Gaddah, Abdulbaset
Mohamed, Abdullah
Yaseen, Ishfaq
Rizwanullah, Mohammed
Zamani, Abu Sarwar
author_sort Hilal, Anwer Mustafa
title Metaheuristics based energy efficient task scheduling scheme for cyber-physical systems environment
title_short Metaheuristics based energy efficient task scheduling scheme for cyber-physical systems environment
title_full Metaheuristics based energy efficient task scheduling scheme for cyber-physical systems environment
title_fullStr Metaheuristics based energy efficient task scheduling scheme for cyber-physical systems environment
title_full_unstemmed Metaheuristics based energy efficient task scheduling scheme for cyber-physical systems environment
title_sort metaheuristics based energy efficient task scheduling scheme for cyber-physical systems environment
publisher Multidisciplinary Digital Publishing Institute (MDPI)
publishDate 2022
url http://irep.iium.edu.my/101881/7/101881_Metaheuristics%20based%20energy%20efficient%20task%20scheduling%20scheme.pdf
http://irep.iium.edu.my/101881/
http://doi.org/10.3390/su142416539
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score 13.211869