Cloud Computing: Novel Models for Secure Resource Allocation in Cloud Infrastructure - Couverture souple
Synopsis
The book contains a novel technique for cloud infrastructure resource allocation and security for big data applications using enhanced bat algorithm. The authors discussed the precarious situation in computing resources in cloud computing. We recognize multiple computational models such as CPU, memory, and virtual machine-level storage to create an allocation algorithm called Enhanced BAT. The algorithm supports not only a fair allocation of resources for users but also an efficient use of resources for each physical server. The problem with the distribution of resources does model as a robust game finished with perfect information and the BAT algorithm results in a Nash equilibrium decision. To overcome energy consumption and load balancing issues ALB is introduced, and it will manage the energy in every cluster, and also it reduces network bandwidth. GCWM is a scheduler scheme in the cloud environment, and it will increase the multi-task performance, and it balances the workstations in the cloud environment, so it is the best optimal solution to a cloud environment. Finally, the experimental result shows BAT algorithm enhanced to allocate resource in cloud infrastructure.
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Cloud Computing
Edité par
LAP LAMBERT Academic Publishing Apr 2022, 2022
ISBN 10 : 6200568693
ISBN 13 : 9786200568694
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 -The book contains a novel technique for cloud infrastructure resource allocation and security for big data applications using enhanced bat algorithm. The authors discussed the precarious situation in computing resources in cloud computing. We recognize multiple computational models such as CPU, memory, and virtual machine-level storage to create an allocation algorithm called Enhanced BAT. The algorithm supports not only a fair allocation of resources for users but also an efficient use of resources for each physical server. The problem with the distribution of resources does model as a robust game finished with perfect information and the BAT algorithm results in a Nash equilibrium decision. To overcome energy consumption and load balancing issues ALB is introduced, and it will manage the energy in every cluster, and also it reduces network bandwidth. GCWM is a scheduler scheme in the cloud environment, and it will increase the multi-task performance, and it balances the workstations in the cloud environment, so it is the best optimal solution to a cloud environment. Finally, the experimental result shows BAT algorithm enhanced to allocate resource in cloud infrastructure. 272 pp. Englisch. N° de réf. du vendeur 9786200568694
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Cloud Computing
Edité par
LAP Lambert Academic Publishing, 2022
ISBN 10 : 6200568693
ISBN 13 : 9786200568694
Neuf
Couverture souple
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. The book contains a novel technique for cloud infrastructure resource allocation and security for big data applications using enhanced bat algorithm. The authors discussed the precarious situation in computing resources in cloud computing. We recognize mult. N° de réf. du vendeur 593683281
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Cloud Computing
Edité par
LAP LAMBERT Academic Publishing Apr 2022, 2022
ISBN 10 : 6200568693
ISBN 13 : 9786200568694
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book contains a novel technique for cloud infrastructure resource allocation and security for big data applications using enhanced bat algorithm. The authors discussed the precarious situation in computing resources in cloud computing. We recognize multiple computational models such as CPU, memory, and virtual machine-level storage to create an allocation algorithm called Enhanced BAT. The algorithm supports not only a fair allocation of resources for users but also an efficient use of resources for each physical server. The problem with the distribution of resources does model as a robust game finished with perfect information and the BAT algorithm results in a Nash equilibrium decision. To overcome energy consumption and load balancing issues ALB is introduced, and it will manage the energy in every cluster, and also it reduces network bandwidth. GCWM is a scheduler scheme in the cloud environment, and it will increase the multi-task performance, and it balances the workstations in the cloud environment, so it is the best optimal solution to a cloud environment. Finally, the experimental result shows BAT algorithm enhanced to allocate resource in cloud infrastructure.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 272 pp. Englisch. N° de réf. du vendeur 9786200568694
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Expédition depuis Allemagne vers Etats-Unis
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Cloud Computing : Novel Models for Secure Resource Allocation in Cloud Infrastructure
Edité par
LAP LAMBERT Academic Publishing, 2022
ISBN 10 : 6200568693
ISBN 13 : 9786200568694
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book contains a novel technique for cloud infrastructure resource allocation and security for big data applications using enhanced bat algorithm. The authors discussed the precarious situation in computing resources in cloud computing. We recognize multiple computational models such as CPU, memory, and virtual machine-level storage to create an allocation algorithm called Enhanced BAT. The algorithm supports not only a fair allocation of resources for users but also an efficient use of resources for each physical server. The problem with the distribution of resources does model as a robust game finished with perfect information and the BAT algorithm results in a Nash equilibrium decision. To overcome energy consumption and load balancing issues ALB is introduced, and it will manage the energy in every cluster, and also it reduces network bandwidth. GCWM is a scheduler scheme in the cloud environment, and it will increase the multi-task performance, and it balances the workstations in the cloud environment, so it is the best optimal solution to a cloud environment. Finally, the experimental result shows BAT algorithm enhanced to allocate resource in cloud infrastructure. N° de réf. du vendeur 9786200568694
Acheter neuf
EUR 93
Expédition à EUR 62,12
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
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