9786200568694 - Cloud Computing: Novel Models for Secure Resource Allocation in Cloud Infrastructure de Kiran, Dr. Jangala Sasi; Shavali, Dr. T. K. Shaik (5 resultados)

Taschenbuch. Condición: Neu. Cloud Computing | Novel Models for Secure Resource Allocation in Cloud Infrastructure | Jangala Sasi Kiran (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786200568694 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condición: 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.

Condición: 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.

Taschenbuch. Condición: 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.

Taschenbuch. Condición: 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.