This book discusses various aspects of Cloud computing, in which Trust and fault-tolerance models are included in a multilayered, Cloud architecture.
He has 15+ years of extensive experience in IT industry and Academics in India and abroad..
He was visiting researcher at Federal University of Itajuba - UNIFEI/IMC, Brazil in 2017.
He is Post-Doctorate from University of Pretoria (South Africa-2015-16) from the Department of Electrical, Electronic and Computer Engineering.
Gupta is currently working as a Associate Professor in the Department of Computer Science and Engineering at Jaypee University of Information Technology (JUIT).
K.
P.
He is currently serving as a Member of Computer Society of India (CSI), Member of IEEE, Professional member of ACM.
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 Gold Medalist in M-tech from Jaypee Institute of information technology. in Computer Science and Engineering from Jaypee University of Information Technology, Solan, India.
D.
He has completed his Ph.
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.
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.
The discussion also includes new algorithms that overcome drawbacks of existing methods, using a performance matrix for each functionality.
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 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.
This book discusses various aspects of Cloud computing, in which Trust and fault-tolerance models are included in a multilayered, Cloud architecture
