Metaheuristics Based Energy Efficient Task Scheduling Scheme for Cyber-Physical Systems Environment
نویسندگان
چکیده
The widespread applicability of cyber-physical systems (CPS) necessitates efficient schemes to optimize the performance both computing units and physical plant. Task scheduling (TS) in CPS is vital importance enhance resource usage system efficiency. Traditional task schedulers embedded real-time are unable fulfill requirements because diversity heterogeneities. In this study, we designed a new artificial rabbit optimization enabled energy-efficient task-scheduling scheme (ARO-EETSS) for environment. presented ARO-EETSS technique based on natural survival practices rabbits, comprising detour foraging arbitrary hiding. technique, TS process performed via allocation n autonomous tasks m different resources. addition, objective function reduction completion time effective utilization order demonstrate higher system, sequence simulations was implemented. comparison study underlined improved terms measures.
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ژورنال
عنوان ژورنال: Sustainability
سال: 2022
ISSN: ['2071-1050']
DOI: https://doi.org/10.3390/su142416539