The Grid 2

Part I: Perspectives
1. Grids in Context
2. The Scientific Imperative
3. The Industrial Imperative

Part II: Framework
4. Concepts and Architecture

Part III: Applications
5. Predictive Maintenance: Distributed Aircraft Engine Diagnostics
6. Distributed Telepresence: The NEESgrid Earthquake Engineering Collaboratory
7. Scientific Data Federation: The World Wide Telescope
8. Medical Data Federation: The Biomedical Informatics Research Network
9. Knowledge Integration: In silico Experiments in Bioinformatics
10. Distributed Data Analysis: Federated Computing for High Energy Physics
11. Massively Distributed Computing: Virtual Screening on a Desktop Grid
12. Enterprise Resource Management: Applications in Research and Industry
13. Interactivity with Scalability: Infrastructure for Multiplayer Games
14. Service Virtualization: Infrastructure and Applications
15. Group-Oriented Collaboration: The Access Grid Collaboration System
16. Collaborative Science: Astrophysics Requirements and Experiences

Part IV: Architecture
17. The Open Grid Services Architecture
18. Resource and Service Management
19. Building Reliable Clients and Services
20. Instrumentation and Monitoring
21. Security for Virtual Organizations: Federating Trust and Policy Domains

Part V Data and Knowledge
22. Data Access, Integration and Management
23. Enhancing Services and Applications with Knowledge and Semantics

Part VI: Tools
24. Application-Level tools
25. Languages, Compilers, and Runtime System
26. Application Tuning and Adaptation

Part VII: Infrastructure
27. Production Deployment: Experiences and Recommendations
28. Computing Elements
29. Peer-to-Peer Technologies
30. Network Infrastructure
31. Bibliography

"The Grid is an emerging infrastructure that will fundamentally change the way we think about-and use-computing. The word Grid is used by analogy with the electric power grid, which provides pervasive access to electricity and has had a dramatic impact on human capabilities and society. Many believe that by allowing all components of our information technology infrastructure-computational capabilities, databases, sensors, and people-to be shared flexibly as true collaborative tools the Grid will have a similar transforming effect, allowing new classes of applications to emerge." --From the Preface

In 1998, Ian Foster and Carl Kesselman introduced a whole new concept in computing with the first edition of this book. Today there is a broader and deeper understanding of the nature of the opportunities offered by Grid computing and the technologies needed to realize those opportunities. In Grid 2, the editors reveal the revolutionary impact of large-scale resource sharing and virtualization within science and industry, the intimate relationships between organization and resource sharing structures and the new technologies required to enable secure, reliable, and efficient resource sharing on large scale.

Foster and Kesselman have once again assembled a team of experts to present an up-to-date view of Grids that reports on real experiences and explains the available technologies and new technologies emerging from labs, companies and standards bodies. Grid 2, like its predecessor, serves as a manifesto, design blueprint, user guide and research agenda for future Grid systems.

• 30 chapters including more than a dozen completely new chapters
• Web access to 13 unchanged chapters from the first edition
• Three personal essays by influential thinkers on the significance of Grids from the perspectives of infrastructure, industry, and science
• A foundational overview of the central Grid concepts and architectural principles
• Twelve application vignettes showcase working Grids in science, engineering, industry, and commerce
• Detailed discussions of core architecture and services, data and knowledge management, and higher-level tools
• Focused presentations on production Grid deployment, computing platforms, peer-to-peer technologies, and network infrastructures
• Extensive bibliography and glossary

Computing executives and strategists, system designers, technical professionals, academics, graduate students in distributed parallel computing and grid computing