Principles of Distributed Database SystemsThis 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. |
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Contents
1 | |
Background
| 41 |
Distributed Database Design
| 71 |
Database Integration
| 131 |
Data and Access Control
| 170 |
Overview of Query Processing
| 205 |
Query Decomposition and Data Localization
| 221 |
Optimization of Distributed Queries
| 245 |
Distributed DBMS Reliability
| 405 |
Data Replication
| 458 |
Parallel Database Systems
| 497 |
Distributed Object Database Management
| 551 |
PeertoPeer Data Management
| 610 |
Web Data Management
| 657 |
Current Issues Streaming Data and Cloud
Computing
| 723 |
References | 764 |
Other editions - View all
Principles of Distributed Database Systems M. Tamer Özsu,Patrick Valduriez No preview available - 2011 |
Principles of Distributed Database Systems M. Tamer Ozsu,Patrick Valduriez No preview available - 2016 |
Principles of Distributed Database Systems, Third Edition M. Tamer Zsu,Patrick Valduriez No preview available - 2011 |
Common terms and phrases
abort ACM SIGMOD Int algebra algorithm allocation applications approach architecture attribute Bigtable buffer Chapter client cluster commit communication complex computing concurrency control Conf consider consistency constraints coordinator cost data item data management data streams DBMS deadlock defined discussed distributed database distributed DBMS distributed query ENAME example execution failures Figure function global graph hash horizontal fragmentation implementation input integrity issues join join algorithm Large Data Bases load balancing lock Management of Data mapping MapReduce multidatabase node operations overlay network Ozsu parallel participant partitioning peer peer-to-peer performance predicate problem Proc processor PROJ protocol query optimization query processing relation relational algebra replication result schema schema matching Section SELECT semantics semijoin serializability server shared-nothing SIGMOD specified Springer Science+Business Media storage stored strategy Syst techniques timestamp transaction manager tree tuples Valduriez values web graph