SCHEDULING REAL-TIME TASKS IN MULTIPROCESSOR SYSTEMS USING GENETIC ALGORITHMS
M. Saad, E., A. Keshk, H., Saleh, M., Hamam, A. (2009). SCHEDULING REAL-TIME TASKS IN MULTIPROCESSOR SYSTEMS USING GENETIC ALGORITHMS. EKB Journal Management System, 37(No 3), 691-698. doi: 10.21608/jesaun.2009.126495
E. M. Saad; H. A. Keshk; M. A. Saleh; A.A. Hamam. "SCHEDULING REAL-TIME TASKS IN MULTIPROCESSOR SYSTEMS USING GENETIC ALGORITHMS". EKB Journal Management System, 37, No 3, 2009, 691-698. doi: 10.21608/jesaun.2009.126495
M. Saad, E., A. Keshk, H., Saleh, M., Hamam, A. (2009). 'SCHEDULING REAL-TIME TASKS IN MULTIPROCESSOR SYSTEMS USING GENETIC ALGORITHMS', EKB Journal Management System, 37(No 3), pp. 691-698. doi: 10.21608/jesaun.2009.126495
M. Saad, E., A. Keshk, H., Saleh, M., Hamam, A. SCHEDULING REAL-TIME TASKS IN MULTIPROCESSOR SYSTEMS USING GENETIC ALGORITHMS. EKB Journal Management System, 2009; 37(No 3): 691-698. doi: 10.21608/jesaun.2009.126495

SCHEDULING REAL-TIME TASKS IN MULTIPROCESSOR SYSTEMS USING GENETIC ALGORITHMS

JES. Journal of Engineering Sciences
Article 10, Volume 37, No 3, May and June 2009, Page 691-698  XML PDF (309.59 K)
Document Type: Research Paper
DOI: 10.21608/jesaun.2009.126495
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Authors
E. M. Saad1; H. A. Keshk1; M. A. Saleh1; A.A. Hamam2
1Faculty of Engineering Helwan University, Helwan, Egypt
2Thebes Academy, Giza, Egypt
Abstract
Multiprocessors have been employed as a powerful computing means for executing real-time tasks, especially where a uniprocessor system would not be sufficient to execute all the tasks. This paper investigates dynamic scheduling algorithm for real-time tasks in a multiprocessor systems to obtain a feasible solution using genetic algorithms combined with earliest deadline first (EDF) and shortest computation time first (SCTF). A comparative study of the results obtained from simulations shows that genetic algorithm can be used to schedule tasks to meet their deadlines time , in addition to obtain high processor utilization.
Keywords
Task Graph; Optimization; Real-time system; genetic algorithms; multiprocessor scheduling
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