ISBN: 9786206769101 - cloud computing: an efficient load balancing and resource provisioning in the cloud environment (5 risultati)

Taschenbuch. Condizione: Neu. Cloud Computing | An Efficient Load Balancing and Resource Provisioning in the Cloud Environment | Vaishnavi P. (u. a.) | Taschenbuch | Englisch | 2023 | Scholars' Press | EAN 9786206769101 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Cloud computing is incredibly significant in recent technologies in IT sector. Various types of cloud computing services and applications are available via an internet connection. As cloud computing is serving millions of users simultaneously, it must have the ability to meet all users requests with high performance and guarantee of quality of service (QoS). The energy-aware scheduling algorithm is concentrated on both makespan and also in energy consumption. In this book a novel scheduling algorithm based on the factors of workload and job type to predict the makespan and also energy consumption. The motivation of this scheduling algorithm is to achieve energy-efficient green task scheduling and to optimize the scheduler that uses the sigmoid neural task predictor for the implementation. Resource provisioning in cloud computing is a major component that can improve the performance of a cloud system to a huge extent. High dimensionality and high variability in the cloud workloads pose major challenges in the allocation process. This part of the work presents an architecture that performs resource provisioning based on demand prediction and range-based resource allocation. 132 pp. Englisch.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Cloud computing is incredibly significant in recent technologies in IT sector. Various types of cloud computing services and applications are available via an internet connection. As cloud computing is serving millions of users simultaneously, it must have .…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Cloud computing is incredibly significant in recent technologies in IT sector. Various types of cloud computing services and applications are available via an internet connection. As cloud computing is serving millions of users simultaneously, it must have the ability to meet all users requests with high performance and guarantee of quality of service (QoS). The energy-aware scheduling algorithm is concentrated on both makespan and also in energy consumption. In this book a novel scheduling algorithm based on the factors of workload and job type to predict the makespan and also energy consumption. The motivation of this scheduling algorithm is to achieve energy-efficient green task scheduling and to optimize the scheduler that uses the sigmoid neural task predictor for the implementation. Resource provisioning in cloud computing is a major component that can improve the performance of a cloud system to a huge extent. High dimensionality and high variability in the cloud workloads pose major challenges in the allocation process. This part of the work presents an architecture that performs resource provisioning based on demand prediction and range-based resource allocation.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Cloud computing is incredibly significant in recent technologies in IT sector. Various types of cloud computing services and applications are available via an internet connection. As cloud computing is serving millions of users simultaneously, it must have the ability to meet all users requests with high performance and guarantee of quality of service (QoS). The energy-aware scheduling algorithm is concentrated on both makespan and also in energy consumption. In this book a novel scheduling algorithm based on the factors of workload and job type to predict the makespan and also energy consumption. The motivation of this scheduling algorithm is to achieve energy-efficient green task scheduling and to optimize the scheduler that uses the sigmoid neural task predictor for the implementation. Resource provisioning in cloud computing is a major component that can improve the performance of a cloud system to a huge extent. High dimensionality and high variability in the cloud workloads pose major challenges in the allocation process. This part of the work presents an architecture that performs resource provisioning based on demand prediction and range-based resource allocation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 132 pp. Englisch.…