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.
M. Saad, E., A. Keshk, H., Saleh, M. A., & Hamam, A. (2009). SCHEDULING REAL-TIME TASKS IN MULTIPROCESSOR SYSTEMS USING GENETIC ALGORITHMS. JES. Journal of Engineering Sciences, 37(No 3), 691-698. doi: 10.21608/jesaun.2009.126495
MLA
E. M. Saad; H. A. Keshk; M. A. Saleh; A.A. Hamam. "SCHEDULING REAL-TIME TASKS IN MULTIPROCESSOR SYSTEMS USING GENETIC ALGORITHMS", JES. Journal of Engineering Sciences, 37, No 3, 2009, 691-698. doi: 10.21608/jesaun.2009.126495
HARVARD
M. Saad, E., A. Keshk, H., Saleh, M. A., Hamam, A. (2009). 'SCHEDULING REAL-TIME TASKS IN MULTIPROCESSOR SYSTEMS USING GENETIC ALGORITHMS', JES. Journal of Engineering Sciences, 37(No 3), pp. 691-698. doi: 10.21608/jesaun.2009.126495
VANCOUVER
M. Saad, E., A. Keshk, H., Saleh, M. A., Hamam, A. SCHEDULING REAL-TIME TASKS IN MULTIPROCESSOR SYSTEMS USING GENETIC ALGORITHMS. JES. Journal of Engineering Sciences, 2009; 37(No 3): 691-698. doi: 10.21608/jesaun.2009.126495
)
View on SCiNiTO