Cloud Computing: Principles, Systems and Applications
This practically-focused reference presents a comprehensive overview of the state of the art in Cloud Computing, and examines the potential for future Cloud and Cloud-related technologies to address specific industrial and research challenges. This new edition explores both established and emergent principles, techniques, protocols and algorithms involved with the design, development, and management of Cloud-based systems. The text reviews a range of applications and methods for linking Clouds, undertaking data management and scientific data analysis, and addressing requirements both of data analysis and of management of large scale and complex systems. This new edition also extends into the emergent next generation of mobile telecommunications, relating network function virtualization and mobile edge Cloud Computing, as supports Smart Grids and Smart Cities. As with the first edition, emphasis is placed on the four quality-of-service cornerstones of efficiency, scalability, robustness, and security.
1116820944
Cloud Computing: Principles, Systems and Applications
This practically-focused reference presents a comprehensive overview of the state of the art in Cloud Computing, and examines the potential for future Cloud and Cloud-related technologies to address specific industrial and research challenges. This new edition explores both established and emergent principles, techniques, protocols and algorithms involved with the design, development, and management of Cloud-based systems. The text reviews a range of applications and methods for linking Clouds, undertaking data management and scientific data analysis, and addressing requirements both of data analysis and of management of large scale and complex systems. This new edition also extends into the emergent next generation of mobile telecommunications, relating network function virtualization and mobile edge Cloud Computing, as supports Smart Grids and Smart Cities. As with the first edition, emphasis is placed on the four quality-of-service cornerstones of efficiency, scalability, robustness, and security.
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Cloud Computing: Principles, Systems and Applications

Cloud Computing: Principles, Systems and Applications

Cloud Computing: Principles, Systems and Applications

Cloud Computing: Principles, Systems and Applications

eBook2nd ed. 2017 (2nd ed. 2017)

$149.00 

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Overview

This practically-focused reference presents a comprehensive overview of the state of the art in Cloud Computing, and examines the potential for future Cloud and Cloud-related technologies to address specific industrial and research challenges. This new edition explores both established and emergent principles, techniques, protocols and algorithms involved with the design, development, and management of Cloud-based systems. The text reviews a range of applications and methods for linking Clouds, undertaking data management and scientific data analysis, and addressing requirements both of data analysis and of management of large scale and complex systems. This new edition also extends into the emergent next generation of mobile telecommunications, relating network function virtualization and mobile edge Cloud Computing, as supports Smart Grids and Smart Cities. As with the first edition, emphasis is placed on the four quality-of-service cornerstones of efficiency, scalability, robustness, and security.

Product Details

ISBN-13: 9783319546452
Publisher: Springer-Verlag New York, LLC
Publication date: 06/02/2017
Series: Computer Communications and Networks
Sold by: Barnes & Noble
Format: eBook
Pages: 410
File size: 5 MB

About the Author

Prof. Nick Antonopoulos is Dean of the College of Engineering and Technology, and Head of Research Excellence at the University of Derby, UK.

Dr. Lee Gillam is Editor-in-Chief of the Journal of Cloud Computing, and Director of Learning and Teaching and Senior Lecturer in the Department of Computer Science at the University of Surrey, UK.

Table of Contents

Part I: General Principles 

The Rise of Cloud Computing in the Era of Emerging Networked Society
Bhaskar Prasad Rimal and Ian Lumb

Mirror, Mirror on the Wall, How Do I Dimension My Cloud After All?
Rafaelli Coutinho, Yuri Frota, Kary Ocaña, Daniel de Oliveira and Lúcia Drummond

A Taxonomy of Adaptive Resource Management Mechanisms in Virtual Machines: Recent Progress and Challenges
José Simão and Luís Veiga

Part II: Science Cloud

Exploring Cloud Elasticity in Scientific Applications
Guilherme Galante and Rodrigo Da Rosa Righi

Clouds and Reproducibility: A Way to Go to Scientific Experiments?
Ary Henrique Morais de Oliveira, Daniel de Oliveira and Marta Mattoso

Big Data Analytics in Healthcare: A Cloud-Based Framework for Generating Insights
Ashiq Anjum, Sanna Aizad, Bilal Arshad, Moeez Subhani, Dominic Davies-Tagg, Tariq Abdullah and Nick Antonopoulos

Part III: Data Cloud

Implementing MapReduce Applications in Dynamic Cloud Environments
Domenico Talia, Paolo Trunfio and Fabrizio Marozzo

High Performance Graph Data Management and Mining in Cloud Environments with X10
Miyuru Dayarathna and Toyotaro Suzumura

Part IV: Multi-Clouds

Facilitating Cloud Federation Management via Data Interoperability
Vincent Chimaobi Emeakaroha, Philip Healy and John Morrison

Applying Self-* Principles in Heterogeneous Cloud Environments
Ioan Dragan, Teodor-Florin Fortis, Gabriel Iuhasz, Dana Petcu and Marian Neagul

Part V: Performance and Efficiency

Optimizing the Profit and QoS of Virtual Brokers in the Cloud
Santiago Iturriaga, Sergio Nesmachnow and Bernabe Dorronsoro

Adaptive Resource Allocation for Load Balancing in Cloud
Somnath Mazumdar, Alberto Scionti and Anoop S. Kumar

Cloud-Supported Certification for Energy-Efficient Web Browsing and Services
Gonçalo Avelar, José Simão and Luís Veiga

Datacentre Event Analysis for Knowledge Discovery in Large-Scale Cloud Environments
John Panneerselvam, Lu Liu and Yao Lu

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