Furht B., Escalante A. (Eds.) Handbook of Cloud Computing

Springer, 2010. - 655 p. - This Handbook includes contributions from world experts in the field of cloud computing from academia, research laboratories and private industry. This book presents the systems, tools, and services of the leading providers of cloud computing; including Google, Yahoo, Amazon, IBM, and Microsoft. The basic concepts of cloud computing and cloud computing applications are also introduced. Current and future technologies applied in cloud computing are also discussed. Cloud computing has become a significant technology trend. Experts believe cloud computing is currently reshaping information technology and the IT marketplace. The advantages of using cloud computing include cost savings, speed to market, access to greater computing resources, high availability, and scalability. Case studies, examples, and exercises are provided throughout.Part I: Technologies and Systems
Cloud Computing Fundamentals
Cloud Computing Technologies and Applications
Key Enabling Technologies for Virtual Private Clouds
The Role of Networks in Cloud Computing
Data-lntensive Technologies for Cloud Computing
Survey of Storage and Fault Tolerance Strategies Used in Cloud Computing
Scheduling Service Oriented Workflows Inside Clouds Using an Adaptive Agent Based Approach
The Role of Grid Computing Technologies in Cloud Computing
Cloudweaver: Adaptive and Data-Driven Workload Manager for Generic Clouds
Part II: Architectures
Enterprise Knowledge Clouds: Architecture and Technologies
Integration of High-Performance Computing into Cloud Computing Services
Vertical Load Distribution for Cloud Computing via Multiple Implementation Options
SwinDeW-C: A Peer-to-Peer Based Cloud Workflow System
Part III: Services
Cloud Types and Services
Service Scalability Over the Cloud
Scientific Services on the Cloud
A Novel Market-Oriented Dynamic Collaborative Cloud Service Platform
Part IV: Applications
Enterprise Knowledge Clouds:Applications and Solutions
Open Science in the Cloud: Towards a Universal Platform for Scientific and Statistical Computing
Multidimensional Environmental Data Resource Brokering on Computational Grids and Scientific Clouds
HPC on Competitive Cloud Resources
Scientific Data Management in the Cloud: A Survey of Technologies, Approaches and Challenges
Feasibility Study and Experience on Using Cloud Infrastructure and Platform for Scientific Computing
A Cloud Computing Based Patient Centric Medical Information System
Cloud@Home: A New Enhanced Computing Paradigm
Using Hybrid Grid/Cloud Computing Technologies for Environmental Data Elastic Storage, Processing,and Provisioning