The Grid: Core Technologies (Paperback)
Maozhen Li, Mark Baker
- 出版商: Wiley
- 出版日期: 2005-05-06
- 售價: $600
- 語言: 英文
- 頁數: 452
- 裝訂: Paperback
- ISBN: 0470094176
- ISBN-13: 9780470094174
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Find out which technologies enable the Grid and how to employ them successfully!
This invaluable text provides a complete, clear, systematic, and practical understanding of the technologies that enable the Grid. The authors outline all the components necessary to create a Grid infrastructure that enables support for a range of wide-area distributed applications. The Grid: Core Technologies takes a pragmatic approach with numerous practical examples of software in context. It describes the middleware components of the Grid step-by-step, and gives hands-on advice on designing and building a Grid environment with the Globus Toolkit, as well as writing applications.
The Grid: Core Technologies:
- Provides a solid and up-to-date introduction to the technologies that underpin the Grid.
- Contains a systematic explanation of the Grid, including its infrastructure, basic services, job management, user interaction, and applications.
- Explains in detail OGSA (Open Grid Services Architecture), Web Services technologies (SOAP, WSDL, UDDI), and Grid Monitoring.
- Covers Web portal-based tools such as the Java CoG, GridPort, GridSphere, and JSR 168 Portlets.
- Tackles hot topics such as WSRF (Web Services Resource Framework), the Semantic Grid, the Grid Security Infrastructure, and Workflow systems.
- Offers practical examples to enhance the understanding and use of Grid components and the associated tools.
This rich resource will be essential reading for researchers and postgraduate students in computing and engineering departments, IT professionals in distributed computing, as well as Grid end users such as physicists, statisticians, biologists and chemists
Table of Contents:
About the Authors.
List of Abbreviations.
1 An Introduction to the Grid.
1.2 Characterization of the Grid.
1.3 Grid-Related Standards Bodies.
1.4 The Architecture of the Grid.
Part One: System Infrastructure.
2 OGSA and WSRF.
2.2 Traditional Paradigms for Distributed Computing.
2.3 Web Services.
2.5 The Globus Toolkit 3 (GT3).
2.8 Chapter Summary.
2.9 Further Reading and Testing.
2.10 Key Points.
3 The Semantic Grid and Autonomic Computing.
3.2 Metadata and Ontology in the Semantic Web.
3.3 Semantic Web Services.
3.4 A Layered Structure of the Semantic Grid.
3.5 Semantic Grid Activities.
3.6 Autonomic Computing.
3.6.1 What is autonomic computing?
3.6.2 Features of autonomic computing systems.
3.6.3 Autonomic computing projects.
3.6.4 A vision of autonomic Grid services.
3.7 Chapter Summary.
3.8 Further Reading and Testing.
3.9 Key Points.
Part Two: Basic Services.
4 Grid Security.
4.2 A Brief Security Primer.
4.4 Grid Security.
4.5 Putting it all Together.
4.6 Possible Vulnerabilities.
4.9 Further Reading.
5 Grid Monitoring.
5.2 Grid Monitoring Architecture (GMA).
5.3 Review Criteria.
5.4 An Overview of Grid Monitoring Systems.
5.5 Other Monitoring Systems.
5.7 Chapter Summary.
5.8 Further Reading and Testing.
5.9 Key Points.
Part Three: Job Management and User Interaction.
6 Grid Scheduling and Resource Management.
6.2 Scheduling Paradigms.
6.3 How Scheduling Works.
6.4 A Review of Condor, SGE, PBS and LSF.
6.5 Grid Scheduling with QoS.
6.6 Chapter Summary.
6.7 Further Reading and Testing.
6.8 Key Points.
7 Workflow Management for the Grid.
7.2 The Workflow Management Coalition.
7.3 Web Services-Oriented Flow Languages.
7.4 Grid Services-Oriented Flow Languages.
7.5 Workflow Management for the Grid.
7.6 Chapter Summary.
7.7 Further Reading and Testing.
7.8 Key Points.
8 Grid Portals.
8.2 First-Generation Grid Portals.
8.3 Second-Generation Grid Portals.
8.4 Chapter Summary.
8.5 Further Reading and Testing.
8.6 Key Points.
Part Four: Applications.
9 Grid Applications – Case Studies.
9.2 GT3 Use Cases.
9.3 OGSA-DAI Use Cases.
9.4 Resource Management Case Studies.
9.5 Grid Portal Use Cases.
9.6 Workflow Management – Discovery Net Use Cases.
9.7 Semantic Grid – myGrid Use Case.
9.8 Autonomic Computing – AutoMate Use Case.