Articoli correlati a An Enhancement of Gridsim Architecture with Load Balancing
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In present we all people aware with Grid computing, Grid Computing is rapidly developed for providing service of sharing space and data over the internet for the purpose of executing user application, So many author given different type of approaches and algorithms for making Grid Computing respectable. When many author developed scalable grid computing it faces many problem like heterogeneity, load balancing, Scalability, dynamicity etc. So we proposed load balancing algorithm with the help of dynamic threshold value that provide minimum execution time for execute all user application in comparison other load balancing algorithm in Grid Environment. and enhanced GridSim Architecture that contain three level first level contain number of resources, second Level contain number of machine and third level contain number of processing entity, in this way we enhanced GridSim Architecture. The purpose of balancing load at each level, calculate average load at each level and calculate threshold value. After that compare average load with calculated threshold value in this way we have balanced all system by using this balancing algorithm.
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- EditoreScholars' Press
- Data di pubblicazione2016
- ISBN 10 3639769899
- ISBN 13 9783639769890
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero di pagine96
- Contatto del produttorenon disponibile
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rathore Neeraj KumarDr. Neeraj working as AP in CSE Department of Jaypee University, Guna, M.P., India, He has over ten years experience of teaching, research as well as industrial experience. He is PhD(CSE-2014) & ME(CSE-2008) from . Codice articolo 151401491
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An Enhancement of Gridsim Architecture with Load Balancing
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Scholars' Press Okt 2016, 2016
ISBN 10: 3639769899
ISBN 13: 9783639769890
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In present we all people aware with Grid computing, Grid Computing is rapidly developed for providing service of sharing space and data over the internet for the purpose of executing user application, So many author given different type of approaches and algorithms for making Grid Computing respectable. When many author developed scalable grid computing it faces many problem like heterogeneity, load balancing, Scalability, dynamicity etc. So we proposed load balancing algorithm with the help of dynamic threshold value that provide minimum execution time for execute all user application in comparison other load balancing algorithm in Grid Environment. and enhanced GridSim Architecture that contain three level first level contain number of resources, second Level contain number of machine and third level contain number of processing entity, in this way we enhanced GridSim Architecture. The purpose of balancing load at each level, calculate average load at each level and calculate threshold value. After that compare average load with calculated threshold value in this way we have balanced all system by using this balancing algorithm. 96 pp. Englisch. Codice articolo 9783639769890
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An Enhancement of Gridsim Architecture with Load Balancing
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In present we all people aware with Grid computing, Grid Computing is rapidly developed for providing service of sharing space and data over the internet for the purpose of executing user application, So many author given different type of approaches and algorithms for making Grid Computing respectable. When many author developed scalable grid computing it faces many problem like heterogeneity, load balancing, Scalability, dynamicity etc. So we proposed load balancing algorithm with the help of dynamic threshold value that provide minimum execution time for execute all user application in comparison other load balancing algorithm in Grid Environment. and enhanced GridSim Architecture that contain three level first level contain number of resources, second Level contain number of machine and third level contain number of processing entity, in this way we enhanced GridSim Architecture. The purpose of balancing load at each level, calculate average load at each level and calculate threshold value. After that compare average load with calculated threshold value in this way we have balanced all system by using this balancing algorithm. Codice articolo 9783639769890
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An Enhancement of Gridsim Architecture with Load Balancing
Editore:
Scholars' Press Okt 2016, 2016
ISBN 10: 3639769899
ISBN 13: 9783639769890
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. Neuware -In present we all people aware with Grid computing, Grid Computing is rapidly developed for providing service of sharing space and data over the internet for the purpose of executing user application, So many author given different type of approaches and algorithms for making Grid Computing respectable. When many author developed scalable grid computing it faces many problem like heterogeneity, load balancing, Scalability, dynamicity etc. So we proposed load balancing algorithm with the help of dynamic threshold value that provide minimum execution time for execute all user application in comparison other load balancing algorithm in Grid Environment. and enhanced GridSim Architecture that contain three level first level contain number of resources, second Level contain number of machine and third level contain number of processing entity, in this way we enhanced GridSim Architecture. The purpose of balancing load at each level, calculate average load at each level and calculate threshold value. After that compare average load with calculated threshold value in this way we have balanced all system by using this balancing algorithm.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Englisch. Codice articolo 9783639769890
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Paperback. Condizione: Brand New. 96 pages. 8.66x5.91x0.22 inches. In Stock. Codice articolo 3639769899
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