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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Multidisciplinary Digital Publishing Institute (MDPI)
2022
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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 |
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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 |
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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 |
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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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1753788184653725696 |
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13.211869 |