Principles of Distributed Database Systems

1. Front Matter

   Pages i-xix

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2. Introduction

   • M. Tamer Özsu, Patrick Valduriez

   Pages 1-40

3. Background

   • M. Tamer Özsu, Patrick Valduriez

   Pages 41-70

4. Distributed Database Design

   • M. Tamer Özsu, Patrick Valduriez

   Pages 71-129

5. Database Integration

   • M. Tamer Özsu, Patrick Valduriez

   Pages 131-169

6. Data and Access Control

   • M. Tamer Özsu, Patrick Valduriez

   Pages 171-204

7. Overview of Query Processing

   • M. Tamer Özsu, Patrick Valduriez

   Pages 205-220

8. Query Decomposition and Data Localization

   • M. Tamer Özsu, Patrick Valduriez

   Pages 221-244

9. Optimization of Distributed Queries

   • M. Tamer Özsu, Patrick Valduriez

   Pages 245-295

10. Multidatabase Query Processing

    • M. Tamer Özsu, Patrick Valduriez

    Pages 297-334

11. Introduction to Transaction Management

    • M. Tamer Özsu, Patrick Valduriez

    Pages 335-359

12. Distributed Concurrency Control

    • M. Tamer Özsu, Patrick Valduriez

    Pages 361-403

13. Distributed DBMS Reliability

    • M. Tamer Özsu, Patrick Valduriez

    Pages 405-457

14. Data Replication

    • M. Tamer Özsu, Patrick Valduriez

    Pages 459-495

15. Parallel Database Systems

    • M. Tamer Özsu, Patrick Valduriez

    Pages 497-550

16. Distributed Object Database Management

    • M. Tamer Özsu, Patrick Valduriez

    Pages 551-609

17. Peer-to-Peer Data Management

    • M. Tamer Özsu, Patrick Valduriez

    Pages 611-655

18. Web Data Management

    • M. Tamer Özsu, Patrick Valduriez

    Pages 657-722

19. Current Issues: Streaming Data and Cloud Computing

    • M. Tamer Özsu, Patrick Valduriez

    Pages 723-763

20. Back Matter

    Pages 765-845

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This third edition of a classic textbook can be used to teach at the senior undergraduate and graduate levels. The material concentrates on fundamental theories as well as techniques and algorithms. The advent of the Internet and the World Wide Web, and, more recently, the emergence of cloud computing and streaming data applications, has forced a renewal of interest in distributed and parallel data management, while, at the same time, requiring a rethinking of some of the traditional techniques. This book covers the breadth and depth of this re-emerging field. The coverage consists of two parts. The first part discusses the fundamental principles of distributed data management and includes distribution design, data integration, distributed query processing and optimization, distributed transaction management, and replication. The second part focuses on more advanced topics and includes discussion of parallel database systems, distributed object management, peer-to-peer data management, web data management, data stream systems, and cloud computing. New in this Edition: • New chapters, covering database replication, database integration, multidatabase query processing, peer-to-peer data management, and web data management. • Coverage of emerging topics such as data streams and cloud computing • Extensive revisions and updates based on years of class testing and feedback Ancillary teaching materials are available.

• Cloud computing
• Data replication
• Distributed XML
• Distributed database
• Distributed objects
• Distributed query processing
• Distributed transaction processing
• Parallel database
• Peer-to-peer data management
• Stream data management
• Web data management

From the reviews of the third edition:

“This is an excellent book that provides an in-depth overview of all issues related to distributed data management. … Each chapter … ends with a conclusion that provides a nice summary and additional reflections, as well as bibliographic notes. … The book ends with an extensive list of references and an index. … Instructors of advanced database courses could use this book as a textbook. It would also interest researchers on topics related to distributed data management. I highly recommend this excellent book.” (Sergio Ilarri, ACM Computing Reviews, August, 2011)

• , David R. Cheriton School of Computer, University of Waterloo, Waterloo, Canada

  M. Tamer Özsu

• , LIRMM, INRIA Sophia Antipolis Méditerranée, Montpellier Cedex, France

  Patrick Valduriez

M. Tamer Özsu is a professor of computer science at the University of Waterloo, Canada. He has been conducting research in distributed data management for thirty years. He serves on the editorial boards of many journals and book series, and is also the co-editor-in-chief, with Ling Liu, of the Encyclopedia of Database Systems. Patrick Valduriez is a senior researcher at INRIA, France and the head of the Zenith research group pursuing research in scientific data management in distributed systems. He has also served as a professor of computer science at University Paris 6. He has authored and co-authored over 200 technical papers and several books.

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