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

Table of Contents

Part I General Principles

1 The Rise of Cloud Computing in the Era of Emerging Networked Society

2 Mirror Mirror on the Wall, How Do I Dimension My Cloud After All?

3 A Taxonomy of Adaptive Resource Management Mechanisms in Virtual Machines: Recent Progress and Challenges

Part II Science Cloud

4 Exploring Cloud Elasticity in Scientific Applications

Part II Science Cloud

4 Exploring Cloud Elasticity in Scientific Applications

5 Clouds and Reproducibility: A Way to Go to Scientific Experiments?

6 Big Data Analytics in Healthcare: A Cloud-Based Framework for Generating Insights

Part III Data Cloud

7 High-Performance Graph Data Management and Mining in Cloud Environments with X10

8 Implementing MapReduce Applications in Dynamic Cloud Environments

Part IV Multi-clouds

9 Facilitating Cloud Federation Management via Data Interoperability

10 Applying Self-* Principles in Heterogeneous Cloud Environments

Part V Performance and Efficiency

11 Optimizing the Profit and QoS of Virtual Brokers in the Cloud

12 Adaptive Resource Allocation for Load Balancing in Cloud

13 Datacentre Event Analysis for Knowledge Discovery in Large-Scale Cloud Environments

14 Cloud-Supported Certification for Energy-Efficient Web Browsing and Services

About the Authors

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.