Cloud Computing: Principles, Systems and Applications, 2nd Edition

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
Chapter 1 The Rise Of Cloud Computing In The Era Of Emerging Networked Society
Chapter 2 Mirror Mirror On The Wall, How Do I Dimension My Cloud After All?
Chapter 3 A Taxonomy Of Adaptive Resource Management Mechanisms In Virtual Machines: Recent Progress And Challenges

Part II Science Cloud
Chapter 4 Exploring Cloud Elasticity In Scientific Applications
Chapter 5 Clouds And Reproducibility: A Way To Go To Scientificexperiments?
Chapter 6 Big Data Analytics In Healthcare: A Cloud-Based Framework For Generating Insights

Part III Data Cloud
Chapter 7 High-Performance Graph Data Management And Mining In Cloud Environments With X10
Chapter 8 Implementing Mapreduce Applications In Dynamic Cloud Environments

Part IV Multi-clouds
Chapter 9 Facilitating Cloud Federation Management Via Datainteroperability
Chapter 10 Applying Self-* Principles In Heterogeneous Cloud Environments

Part V Performance and Efficiency
Chapter 11 Optimizing The Profit And Qos Of Virtual Brokers In The Cloud
Chapter 12 Adaptive Resource Allocation For Load Balancing In Cloud
Chapter 13 Datacentre Event Analysis For Knowledge Discovery In Large-Scale Cloud Environments
Chapter 14 Cloud-Supported Certification For Energy-Efficient Web Browsing And Services