New Hybrid Genetic Based Approach for Real-Time Scheduling of Reconfigurable Embedded Systems

Ibrahim Gharbi, Hamza Gharsellaoui and Sadok Bouamama
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Ibrahim Gharbi: ENSI, Manouba University, Manouba, Tunisia
Hamza Gharsellaoui: National Engineering School of Carthage (ENIC), Carthage University, Tunis, Tunisia
Sadok Bouamama: FCIT, University of Jeddah, Jeddah, Saudi Arabia

International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), 2018, vol. 10, issue 1, 23-36

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.

Date: 2018
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