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Multiprocessors have become powerful computing means for running real-time applications and their high performance depends greatly on parallel and distributed network environment system. Consequently, several methods have been developed to optimally tackle the multiprocessor task scheduling problem which is called NP-hard problem. To address this issue, this research presents two approaches. The first approach is Modified List Scheduling Heuristic (MLSH). The second approach is hybrid approach which is composed of Genetic Algorithm (GA) and MLSH for task scheduling in multiprocessor system.
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B.Sc. from Faculty of Engineering, Fayoum Univ., Egypt. M.Sc from Electronics,Communications & Computers Engineering Dep., Faculty of Engineering, Helwan Univ., Egypt. Currently an Assistant Lecturer at Fayoum Univ. Research interests includes parallel & distributed system, Grid & Cloud Computing, Multiprocessor scheduling, and genetic algorithms.
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- PublisherLAP LAMBERT Academic Publishing
- Publication date2014
- ISBN 10 3659244295
- ISBN 13 9783659244292
- BindingPaperback
- Number of pages112
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Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Multiprocessors have become powerful computing means for running real-time applications and their high performance depends greatly on parallel and distributed network environment system. Consequently, several methods have been developed to optimally tackle the multiprocessor task scheduling problem which is called NP-hard problem. To address this issue, this research presents two approaches. The first approach is Modified List Scheduling Heuristic (MLSH). The second approach is hybrid approach which is composed of Genetic Algorithm (GA) and MLSH for task scheduling in multiprocessor system. 112 pp. Englisch. Seller Inventory # 9783659244292
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Book Description Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Multiprocessors have become powerful computing means for running real-time applications and their high performance depends greatly on parallel and distributed network environment system. Consequently, several methods have been developed to optimally tackle the multiprocessor task scheduling problem which is called NP-hard problem. To address this issue, this research presents two approaches. The first approach is Modified List Scheduling Heuristic (MLSH). The second approach is hybrid approach which is composed of Genetic Algorithm (GA) and MLSH for task scheduling in multiprocessor system. Seller Inventory # 9783659244292
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Book Description Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rabea Kaseb MostafaB.Sc. from Faculty of Engineering, Fayoum Univ., Egypt. M.Sc from Electronics,Communications & Computers Engineering Dep., Faculty of Engineering, Helwan Univ., Egypt. Currently an Assistant Lecturer at Fayoum Univ. Seller Inventory # 5142583
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