Cloud Computing Principles, Systems and Applications

Topics and features: Introduces the essential technical characteristics and concepts behind the new developments in Cloud Computing, including architectural principles, performance evaluation, and quality of service Provides in-depth coverage of how Clouds can be designed to produce scientific insig...

Full description

Bibliographic Details
Other Authors: Antonopoulos, Nick (Editor), Gillam, Lee (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2017, 2017
Edition:2nd ed. 2017
Series:Computer Communications and Networks
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Part I: General Principles
  • The Rise of Cloud Computing in the Era of Emerging Networked Society
  • Mirror, Mirror on the Wall, How Do I Dimension My Cloud After All?
  • A Taxonomy of Adaptive Resource Management Mechanisms in Virtual Machines: Recent Progress and Challenges
  • Part II: Science Cloud
  • Exploring Cloud Elasticity in Scientific Applications
  • Clouds and Reproducibility: A Way to Go to Scientific Experiments?
  • Big Data Analytics in Healthcare: A Cloud-Based Framework for Generating Insights
  • Part III: Data Cloud
  • Implementing MapReduce Applications in Dynamic Cloud Environments
  • High Performance Graph Data Management and Mining in Cloud Environments with X10
  • Part IV: Multi-Clouds
  • Facilitating Cloud Federation Management via Data Interoperability
  • Applying Self-* Principles in Heterogeneous Cloud Environments
  • Part V: Performance and Efficiency
  • Optimizing the Profit and QoS of Virtual Brokers in the Cloud
  • Adaptive Resource Allocation for Load Balancing in Cloud
  • Cloud-Supported Certification for Energy-Efficient Web Browsing and Services
  • Datacentre Event Analysis for Knowledge Discovery in Large-Scale Cloud Environments