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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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.
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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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783659244292
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Etat : 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. N° de réf. du vendeur 5142583
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 112 pp. Englisch. N° de réf. du vendeur 9783659244292
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783659244292
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Taschenbuch. Etat : Neu. Load Balancing in Multiprocessing Systems | Mostafa Rabea Kaseb (u. a.) | Taschenbuch | 112 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659244292 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 105335934
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