Efficient load balancing algorithm par rathore neeraj (9 résultats)
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Taschenbuch. Etat : Neu. An Efficient Load Balancing Algorithm in Distributed Network | Neeraj Kumar Rathore (u. a.) | Taschenbuch | 84 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659788925 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot…]de | Anbieter: preigu.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A distributed system is a communication intensive system; where each system sends and receives some messages to keep update itself with current system status. The communication made to update the system status is an overhead and it can…degrade the performance of the system. Reducing the communication overhead in load balancing algorithms to balance a distributed system is a challenging task. In a distributed system the nodes may be of different computing capacity. Assigning the workload to the computing nodes according to their computing capacity will increase the system performance. To assign the workload according to computing capacity there is need to make a priority list of computing nodes. The performance of a distributed system heavily depends on the load balancing algorithm that employed to it. It is beneficial to prioritize the processors based on their computing power and transfer the work load from a heavily loaded system to a lightly laded system. This strategy is able to reduce the response time and provides better resource utilization. 84 pp. Englisch.
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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 Nine years experience of teaching,research as well as industrial experience. He is PhD(CSE-…2014) &ME(CSE-2008) from Th.
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -A distributed system is a communication intensive system; where each system sends and receives some messages to keep update itself with current system status. The communication made to update the system status is an overhead and it can degr…ade the performance of the system. Reducing the communication overhead in load balancing algorithms to balance a distributed system is a challenging task. In a distributed system the nodes may be of different computing capacity. Assigning the workload to the computing nodes according to their computing capacity will increase the system performance. To assign the workload according to computing capacity there is need to make a priority list of computing nodes. The performance of a distributed system heavily depends on the load balancing algorithm that employed to it. It is beneficial to prioritize the processors based on their computing power and transfer the work load from a heavily loaded system to a lightly laded system. This strategy is able to reduce the response time and provides better resource utilization.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch.
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A distributed system is a communication intensive system; where each system sends and receives some messages to keep update itself with current system status. The communication made to update the system status is an overhead and it can degra…de the performance of the system. Reducing the communication overhead in load balancing algorithms to balance a distributed system is a challenging task. In a distributed system the nodes may be of different computing capacity. Assigning the workload to the computing nodes according to their computing capacity will increase the system performance. To assign the workload according to computing capacity there is need to make a priority list of computing nodes. The performance of a distributed system heavily depends on the load balancing algorithm that employed to it. It is beneficial to prioritize the processors based on their computing power and transfer the work load from a heavily loaded system to a lightly laded system. This strategy is able to reduce the response time and provides better resource utilization.
