£72.80

Springer Trust & Fault in Multi Layered Cloud Computing Architecture

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Description

Product Description This book discusses various aspects of cloud computing, in which trust and fault-tolerance models are included in a multilayered, cloud architecture. The authors present a variety of trust and fault models used in the cloud, comparing them based on their functionality and the layer in the cloud to which they respond.  Various methods are discussed that can improve the performance of cloud architectures, in terms of trust and fault-tolerance, while providing better performance and quality of service to user.  The discussion also includes new algorithms that overcome drawbacks of existing methods, using a performance matrix for each functionality.  This book provide readers with an overview of cloud computing and how trust and faults in cloud datacenters affects the performance and quality of service assured to the users.   Discusses fundamental issues related to trust and fault-tolerance in Cloud Computing; Describes trust and fault management techniques in multi layered cloud architecture to improve security, reliability and performance of the system; Includes methods to enhance power efficiency and network efficiency, using trust and fault based resource allocation. From the Back Cover This book discusses various aspects of cloud computing, in which trust and fault-tolerance models are included in a multilayered, cloud architecture. The authors present a variety of trust and fault models used in the cloud, comparing them based on their functionality and the layer in the cloud to which they respond.  Various methods are discussed that can improve the performance of cloud architectures, in terms of trust and fault-tolerance, while providing better performance and quality of service to user.  The discussion also includes new algorithms that overcome drawbacks of existing methods, using a performance matrix for each functionality.  This book provide readers with an overview of cloud computing and how trust and faults in cloud datacenters affects the performance and quality of service assured to the users.   Discusses fundamental issues related to trust and fault-tolerance in Cloud Computing; Describes trust and fault management techniques in multi layered cloud architecture to improve security, reliability and performance of the system; Includes methods to enhance power efficiency and network efficiency, using trust and fault based resource allocation. About the Author Punit Gupta is currently working as a Associate Professor in the Department of computer and communication Engineering at Manipal University Jaipur, India. He has completed his Ph.D. in Computer Science and Engineering from Jaypee University of Information Technology, Solan, India. He is Gold Medalist in M-tech from Jaypee Institute of information technology.He has research experience in Internet-of-Things, Cloud Computing, and Distributed algorithms and authored more than 40 research papers in referred journals and international conferences.   He is currently serving as a Member of Computer Society of India (CSI), Member of IEEE, Professional member of ACM.   P. K. Gupta is currently working as a Associate Professor in the Department of Computer Science and Engineering at Jaypee University of Information Technology (JUIT). He is Post-Doctorate from University of Pretoria (South Africa-2015-16) from the Department of Electrical, Electronic and Computer Engineering.  He was visiting researcher at Federal University of Itajuba - UNIFEI/IMC, Brazil in 2017. He has 15+ years of extensive experience in IT industry and Academics in India and abroad. He has completed his Ph.D. in Computer Science and Engineering. He has research experience in Internet-of-Things, Cloud Computing, Image processing, and Pattern Recognition and authored more than thirty research papers in referred journals and international conferences. Also, he has contributed his research work in number of renowned International conferences includ

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
21 January 2020
Listed Since
09 November 2019

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No barcode data available

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