The Grid 2

The second edition of the award-winning The Grid, with 12 of the 30 chapters completely new. Covers from the foundational overview of Grid Computing to production and deployment of grids, and includes 12 vignettes of working Grids in science and industry. Grid 2 serves as a manifesto, design blueprint and user guide.

Autorentext
Ian Foster is Senior Scientist in the Mathematics and Computer Science Division at Argonne National Laboratory, where he also leads the Distributed Systems Laboratory, and Associate Professor of Computer Science at the University of Chicago. His research concerns techniques, tools, and algorithms for high-performance distributed computing, parallel computing, and computational science. Foster led the research and development of software for the I-WAY wide-area distributed computing experiment, which connected supercomputers, databases, and other high-end resources at 17 sites across North America (a live experiment at the Supercomputing conference of 1995). Most recently Carl Kesselman received international recognition for GUSTO, the world's first high-performance computational grid. GUSTO pushes the technological envelope by using high-speed networks and software to provide global access to advanced supercomputers and other devices.

Klappentext
"The Grid" is an emerging infrastructure that will fundamentally change the way people think about and use computing. The editors reveal the revolutionary impact of large-scale resource sharing and virtualization within science and industry, and the intimate relationships between organization and resource sharing structures.

Zusammenfassung
Reveals 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 technologies required to enable secure, reliable, and efficient resource sharing on large scale.

Inhalt

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