Di Stefano, Michael Distributed Data Management for Grid Computing
1. Edition - July 2005 97.90 Euro 2005. 312 Pages, Hardcover - Handbook/Reference Book - ISBN-10: 0-471-68719-7 ISBN-13: 978-0-471-68719-1 - John Wiley & Sons
Short description 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.
From the contents 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.
