Principles of Distributed Database Systems, Third Edition

  • M. Tamer Özsu
  • Patrick Valduriez

Table of contents

  1. Front Matter
    Pages i-xix
  2. M. Tamer Özsu, Patrick Valduriez
    Pages 1-40
  3. M. Tamer Özsu, Patrick Valduriez
    Pages 41-70
  4. M. Tamer Özsu, Patrick Valduriez
    Pages 71-129
  5. M. Tamer Özsu, Patrick Valduriez
    Pages 131-169
  6. M. Tamer Özsu, Patrick Valduriez
    Pages 171-204
  7. M. Tamer Özsu, Patrick Valduriez
    Pages 205-220
  8. M. Tamer Özsu, Patrick Valduriez
    Pages 221-244
  9. M. Tamer Özsu, Patrick Valduriez
    Pages 245-295
  10. M. Tamer Özsu, Patrick Valduriez
    Pages 297-334
  11. M. Tamer Özsu, Patrick Valduriez
    Pages 335-359
  12. M. Tamer Özsu, Patrick Valduriez
    Pages 361-403
  13. M. Tamer Özsu, Patrick Valduriez
    Pages 405-457
  14. M. Tamer Özsu, Patrick Valduriez
    Pages 459-495
  15. M. Tamer Özsu, Patrick Valduriez
    Pages 497-550
  16. M. Tamer Özsu, Patrick Valduriez
    Pages 551-609
  17. M. Tamer Özsu, Patrick Valduriez
    Pages 611-655
  18. M. Tamer Özsu, Patrick Valduriez
    Pages 657-722
  19. M. Tamer Özsu, Patrick Valduriez
    Pages 723-763
  20. Back Matter
    Pages 765-845

About this book

Introduction

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.

Keywords

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

Authors and affiliations

  • M. Tamer Özsu
    • 1
  • Patrick Valduriez
    • 2
  1. 1., David R. Cheriton School of ComputerUniversity of WaterlooWaterlooCanada
  2. 2., LIRMMINRIA Sophia Antipolis MéditerranéeMontpellier CedexFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4419-8834-8
  • Copyright Information Springer Science+Business Media, LLC 2011
  • Publisher Name Springer, New York, NY
  • eBook Packages Computer Science
  • Print ISBN 978-1-4419-8833-1
  • Online ISBN 978-1-4419-8834-8
  • About this book