Load balancing cloud computing von khan akram (7 Ergebnisse)

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Taschenbuch. Zustand: Neu. Load Balancing in Cloud Computing Environment Using Greedy Algorithms | Md Akram Khan (u. a.) | Taschenbuch | 80 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330327696 | 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. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Cloud computing is a novel technology leads several new challenges to all organizations. It has been adopted by worldwide scientifically and commercially. For optimal use of cloud's potential power, effective and efficient algorithms are required, which will select best resources from available cloud resources for different applications. Allocation of user requests (tasks) to the cloud resources can optimize various performance parameters like makespan, throughput, energy consumption, etc. The task allocation or mapping problem is a well-known NP-Complete problem. Novel load balancing algorithmic approach are presented to organizing the virtualized resources of the cloud data center efficiently. The load assigned to a VM scaling up and down according to the resource available with the VM. The application of greedy algorithms are presented that minimizes the average waiting of the system, and makespan, which results in optimal use of the resource utilization and overall energy consumption. A simulation study has been presented with CloudSim to compare the performance of Task-Based allocation, First Come First Serve, Split Based Allocation and random algorithm in the cloud. 80 pp. Englisch. …

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Cloud computing is a novel technology leads several new challenges to all organizations. It has been adopted by worldwide scientifically and commercially. For optimal use of cloud's potential power, effective and efficient algorithms are required, which will select best resources from available cloud resources for different applications. Allocation of user requests (tasks) to the cloud resources can optimize various performance parameters like makespan, throughput, energy consumption, etc. The task allocation or mapping problem is a well-known NP-Complete problem. Novel load balancing algorithmic approach are presented to organizing the virtualized resources of the cloud data center efficiently. The load assigned to a VM scaling up and down according to the resource available with the VM. The application of greedy algorithms are presented that minimizes the average waiting of the system, and makespan, which results in optimal use of the resource utilization and overall energy consumption. A simulation study has been presented with CloudSim to compare the performance of Task-Based allocation, First Come First Serve, Split Based Allocation and random algorithm in the cloud.…

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Khan Md AkramMd. Akram Khan, Sambit Kumar Mishra and Bibhudatta Sahoo are the researchers in Cloud Computing Research Lab, National Institute of Technology Rourkela, India. Their research interests are: Cloud Architecture, Resource M. …

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Cloud computing is a novel technology leads several new challenges to all organizations. It has been adopted by worldwide scientifically and commercially. For optimal use of cloud¿s potential power, effective and efficient algorithms are required, which will select best resources from available cloud resources for different applications. Allocation of user requests (tasks) to the cloud resources can optimize various performance parameters like makespan, throughput, energy consumption, etc. The task allocation or mapping problem is a well-known NP-Complete problem. Novel load balancing algorithmic approach are presented to organizing the virtualized resources of the cloud data center efficiently. The load assigned to a VM scaling up and down according to the resource available with the VM. The application of greedy algorithms are presented that minimizes the average waiting of the system, and makespan, which results in optimal use of the resource utilization and overall energy consumption. A simulation study has been presented with CloudSim to compare the performance of Task-Based allocation, First Come First Serve, Split Based Allocation and random algorithm in the cloud.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch.…