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New Hybrid Genetic Based Approach for Real-Time Scheduling of Reconfigurable Embedded Systems
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Author(s): Ibrahim Gharbi (ENSI, Manouba University, Manouba, Tunisia), Hamza Gharsellaoui (National Engineering School of Carthage (ENIC), Carthage University, Tunis, Tunisia)and Sadok Bouamama (FCIT, University of Jeddah, Jeddah, Saudi Arabia)
Copyright: 2021
Pages: 16
Source title:
Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-8048-6.ch055
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Abstract
This journal article deals with the problem of real-time scheduling of operating systems (OS) tasks by a hybrid genetic-based scheduling algorithm. Indeed, most of real-time systems are framed with aid of priority-based scheduling algorithms. Nevertheless, when such a scenario is applied to save the system at the occurrence of hardware-software faults, or to improve its performance, some real-time properties can be violated at run-time. In contrast, most of the applications of real-time systems are based on timing constraints, i.e. OS tasks should be scheduled properly to finish their execution within the time specified by the real-time systems. For this reason, the authors propose in their article, a hybrid genetic-based scheduling approach that automatically checks the systems feasibility after any reconfiguration scenario was applied to an embedded system. A benchmark example is given, and the experimental results demonstrate the effectiveness of the originally proposed genetic-based scheduling approach over other such classical genetic algorithmic approaches.
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