Michael Di Stefano

Distributed Data Management for Grid Computing

• Gebundenes Buch

Produktbeschreibung

Grid Computing is entering the IT mainstream driven by cost controls, business needs, and technology conditions. Developed by practitioners in the field, this book presents a balanced review of the field as well as an introduction to some of the more advanced concepts pivotal in real-world implementations. It also focuses on data management issues and techniques in Grid Computing.

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Discover grid computing-how to successfully build, implement, and manage widely distributed computing architecture

With technology budgets under increasing scrutiny and system architecture becoming more and more complex, many organizations are rethinking how they manage and use technology. Keeping a strong business focus, this publication clearly demonstrates that the current ways of tying applications to dedicated hardware are no longer viable in today's competitive, bottom line-oriented environment. This evolution in distributed computing is leading a paradigm shift in leveraging widely distributed architectures to get the most processing power per IT dollar.

Presenting a solid foundation of data management issues and techniques, this practical book delves into grid architecture, services, practices, and much more, including:
_ Why businesses should adopt grid computing
_ How to master the fundamental concepts and programming techniques and apply them successfully to reach objectives
_ How to maximize the value of existing IT investments

The author has tailored this publication for two distinct audiences. Business professionals will gain a better understanding of how grid computing improves productivity and performance, what impact it can have on their organization's bottom line, and the technical foundations necessary to discuss grid computing with their IT colleagues. Following the author's expert guidance and practical examples, IT professionals, architects, and developers will be equipped to initiate and carry out successful grid computing projects within their own organizations.

Produktdetails

• Verlag: Wiley & Sons
• Artikelnr. des Verlages: 14668719000
• 1. Auflage
• Seitenzahl: 312
• Erscheinungstermin: 1. Juni 2005
• Englisch
• Abmessung: 245mm x 162mm x 19mm
• Gewicht: 560g
• ISBN-13: 9780471687191
• ISBN-10: 0471687197
• Artikelnr.: 14102011

Autorenporträt

MICHAEL Di STEFANO is CEO of Integrasoft, a leader in distributed computing in the financial and Internet advertising community since 1997. Under Di Stefano's leadership, Integrasoft established the first Data Grid User's Group in which industry experts gather and share their experiences.

Inhaltsangabe

Foreword. Preface. Acknowledgements. PART I: AN OVERVIEW OF GRID COMPUTING.
1. What is Grid Computing? 2. Why Are Businesses Looking at Grid Computing?
3. Service-Oriented Architectures. 4. Parallel Grid Planes. PART II: DATA
MANAGEMENT IN GRID COMPUTING. 5. Scaling in the Grid Topology. 6.
Traditional Data Management.. 7. Relational Data Management as a Baseline
for Understanding Data Grid. 8. Foundation of Comparing Data Grids. 9. Data
Regionalization. 10. Data Synchronization. 11. Data Integration. 12. Data
Affinity. PART III: PRACTICAL APPLICATIONS OF GRID COMPUTING. 13. Which
Applications are Good Candidates for the Grid. 14. Calculation Intensive
Applications. 15. Data Mining, Data Warehouses. 16. Geographic Boundary
Problems. 17. Command and Control. 18. Web Services's Role in the SOA/SONA
Evolution. 19. The Compute Utility. PART IV: REFERENCE MATERIAL. 20.
Language Interface. 21. Basic Programming Examples. 22. Additional Reading.
23. White Paper: Natural Attraction Forces of Data Bodies within a Data
Grid to Describe Efficient Data Distribution Patterns. 24. Glossary of
Terms. References. Index.

Rezensionen

"This is the most complete book I ve read to date on the subject, and the lack of technical expertise requirements make it a fair choice for a wide audience." ( IEEE Distributed Systems Online , January 2006)