Prediction Resources Scheduling in Cloud Computing Systems

Noha El-Attar

ISBN 10: 3659903515 / ISBN 13: 9783659903519

Published by LAP LAMBERT Academic Publishing, 2016

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - The Cloud Computing is more involved in purchasing and consuming manners between providers and customers than other computing paradigms. The core of providing the required services in the Cloud is the on-demand manner, where the customer usually asks for a particular service and the provider has to provide the service with fulfilling its Quality of Service (QoS) requirements. The QoS requirements usually have two main parameters that are needed to be optimized (i.e. minimizing service's response time, and total paid cost). On the other hand, the provider has the right to gain a profit for delivering the service. Accordingly, identifying the convenient resource from the available pool of resources is considered the goal of any resource provisioning algorithm. RPOA is an algorithm that is developed to find the near optimal solution for the resource provisioning problem by achieving the availability and good utilization.

Seller Inventory # 9783659903519

Bibliographic Details

• Title: Prediction Resources Scheduling in Cloud Computing Systems
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2016
• Language: English
• ISBN 10: 3659903515
• ISBN 13: 9783659903519
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 9D millimeters 220 millimeters width by 150 millimeters height by 9 millimeters depth
• Weight: 221 grams

About this title

Synopsis

The Cloud Computing is more involved in purchasing and consuming manners between providers and customers than other computing paradigms. The core of providing the required services in the Cloud is the on-demand manner, where the customer usually asks for a particular service and the provider has to provide the service with fulfilling its Quality of Service (QoS) requirements. The QoS requirements usually have two main parameters that are needed to be optimized (i.e. minimizing service's response time, and total paid cost). On the other hand, the provider has the right to gain a profit for delivering the service. Accordingly, identifying the convenient resource from the available pool of resources is considered the goal of any resource provisioning algorithm. RPOA is an algorithm that is developed to find the near optimal solution for the resource provisioning problem by achieving the availability and good utilization.