Sinopsis
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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Reseña del editor
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.
Biografía del autor
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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Load Balancing in Multiprocessing Systems
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LAP LAMBERT Academic Publishing Mär 2014, 2014
ISBN 10: 3659244295
ISBN 13: 9783659244292
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783659244292
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Load Balancing in Multiprocessing Systems
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ISBN 10: 3659244295
ISBN 13: 9783659244292
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Condición: 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. Nº de ref. del artículo: 5142583
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Load Balancing in Multiprocessing Systems
Publicado por
LAP LAMBERT Academic Publishing Mär 2014, 2014
ISBN 10: 3659244295
ISBN 13: 9783659244292
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Taschenbuch. Condición: 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch. Nº de ref. del artículo: 9783659244292
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Load Balancing in Multiprocessing Systems
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LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659244295
ISBN 13: 9783659244292
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783659244292
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Load Balancing in Multiprocessing Systems
Publicado por
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659244295
ISBN 13: 9783659244292
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 105335934
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