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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Dr. 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 Thapar University & BE(CSE-2006). He has over 35 publications. Under his supervision, 5 Master’s has been awarded & 2 PhD is ongoing.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783639769890
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Etat : 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 . N° de réf. du vendeur 151401491
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Paperback. Etat : Brand New. 96 pages. 8.66x5.91x0.22 inches. In Stock. N° de réf. du vendeur 3639769899
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783639769890
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783639769890
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