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Cloud Computing at Meripustak

Cloud Computing by Antonopoulos, Springer India

Books from same Author: Antonopoulos

Books from same Publisher: Springer India

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General Information  
Author(s)Antonopoulos
PublisherSpringer India
ISBN9788132204435
BindingPaperback
LanguageEnglish
Publish YearJanuary 2012

Description

Springer India Cloud Computing by Antonopoulos

Cloud Computing: Principles, Systems and Applications Cloud computing continues to emerge as a subject of substantial industrial and academic interest. Although the meaning and scope of"cloud computing" continues to be debated, the current notion of clouds blurs the distinctions between grid services, web services, and data centers, among other areas. Clouds also bring considerations of lowering the cost for relatively bursty applications to the fore.Cloud Computing: Principles, Systems and Applications is an essential reference/guide that provides thorough and timely examination of the services, interfaces and types of applications that can be executed on cloud-based systems. The book identifies and highlights state-of-the-art techniques and methods for designing cloud systems, offers balanced coverage of related technologies that collectively contribute towards the realization of cloud computing, and presents mechanisms and schemes for linking clouds to economic activities. With an emphasis on the conceptual and systemic links between cloud computing and other distributed computing approaches, this text also addresses the practical importance of efficiency, scalability, robustness and security as the four cornerstones of quality of service. Contents Part I: Cloud Base Tools and Technologies for Building Clouds A Taxonomy, Survey and Issues of Cloud Computing Ecosystems Towards a Taxonomy for Cloud Computing from an e-Science Perspective Examining Cloud Computing from the Perspective of Grid and Computer-Supported Cooperative Work Overview of Cloud Standards Part II: Cloud Seeding Open and Interoperable Clouds: the Cloud@HomeWay A Peer-to-Peer Framework for Supporting MapReduce Applications in Dynamic Cloud Environments Enhanced Network Support for Scalable Computing Clouds YML-PC: A Reference Architecture Based on Workflow for Building Scientific Private Clouds An Efficient Framework for Running Applications on Clusters, Grids and Clouds Resource



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