The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTER RESEARCH
Transactions ID Number: 32-358
Full Name: Abdelhakeem Hamam
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: 20 masgad el magfar st. Giza Egypt
Country: EGYPT
Tel: 00233860508
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E-mail address: abdelhakeemhamam@yahoo.com
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Title of the Paper: scheduling real-time tasks in multiprocessor systems using genetic algorithms
Authors as they appear in the Paper: E.M.Saad, H.A.Keshk, M.A.Saleh, A.A. Hamam
Email addresses of all the authors:
Number of paper pages: 11
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
EXTENSION of the file: .doc
Special (Invited) Session: Genetic algorithms
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