Principles Of Distributed Database Systems
by M. Tamer Özsu /
2011 / English / PDF
7.3 MB Download
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.
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.