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Synopsis
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.
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Présentation de l'éditeur
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.
Biographie de l'auteur
Md. 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 Management in Cloud, Cloud Services and Applications, Virtualization, Green Computing and Internet of Things (IOT)
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- ÉditeurLAP LAMBERT Academic Publishing
- Date d'édition2017
- ISBN 10 3330327693
- ISBN 13 9783330327696
- ReliureBroché
- Langueanglais
- Nombre de pages80
- Coordonnées du fabricantnon disponible
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Load Balancing in Cloud Computing Environment Using Greedy Algorithms
Edité par
LAP LAMBERT Academic Publishing, 2017
ISBN 10 : 3330327693
ISBN 13 : 9783330327696
Neuf
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Vendeur : moluna, Greven, Allemagne
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Etat : 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. N° de réf. du vendeur 158217943
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Load Balancing in Cloud Computing Environment Using Greedy Algorithms
Edité par
LAP LAMBERT Academic Publishing, 2017
ISBN 10 : 3330327693
ISBN 13 : 9783330327696
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783330327696
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Load Balancing in Cloud Computing Environment Using Greedy Algorithms
Edité par
LAP LAMBERT Academic Publishing Jul 2017, 2017
ISBN 10 : 3330327693
ISBN 13 : 9783330327696
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783330327696
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Load Balancing in Cloud Computing Environment Using Greedy Algorithms
Edité par
LAP LAMBERT Academic Publishing Jul 2017, 2017
ISBN 10 : 3330327693
ISBN 13 : 9783330327696
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 80 pp. Englisch. N° de réf. du vendeur 9783330327696
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Load Balancing in Cloud Computing Environment Using Greedy Algorithms
Edité par
LAP LAMBERT Academic Publishing, 2017
ISBN 10 : 3330327693
ISBN 13 : 9783330327696
Neuf
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Paperback. Etat : Brand New. 80 pages. 8.66x5.91x0.19 inches. In Stock. N° de réf. du vendeur 3330327693
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Load Balancing in Cloud Computing Environment Using Greedy Algorithms
Edité par
LAP LAMBERT Academic Publishing, 2017
ISBN 10 : 3330327693
ISBN 13 : 9783330327696
Neuf
paperback
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paperback. Etat : New. New. book. N° de réf. du vendeur ERICA82933303276936
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