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Distributed Data Management for Grid Computing

Autor Michael Di Stefano
en Limba Engleză Hardback – iun 2005
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.
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Specificații

ISBN-13: 9780471687191
ISBN-10: 0471687197
Pagini: 312
Dimensiuni: 162 x 245 x 19 mm
Greutate: 0.55 kg
Editura: Wiley
Locul publicării:Hoboken, United States

Public țintă

A compelling read for IT professionals (architects, managers, and developers), corporate leaders, financial market professionals and graduate students in IT and business.

Cuprins

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.

Descriere

Grid Computing is entering the IT mainstream driven by cost controls, business needs, and technology conditions. This book is developed by practitioners in the field and presents a balanced review of the field, as well as an introduction to some of the more advanced concepts pivotal in real world implementations.