Enhancement Gridsim Architecture Load by Rathore Neeraj (9 results)

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Paperback. Condition: Brand New. 96 pages. 8.66x5.91x0.22 inches. In Stock.

Taschenbuch. Condition: 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.

Taschenbuch. Condition: Neu. An Enhancement of Gridsim Architecture with Load Balancing | Neeraj Kumar Rathore (u. a.) | Taschenbuch | 96 S. | Englisch | 2016 | Scholars' Press | EAN 9783639769890 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Condition: 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.

Condition: 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 .

Condition: New. Print on Demand.

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Taschenbuch. Condition: 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.