000 03861nam a22005175i 4500
001 978-1-4419-8834-8
003 DE-He213
005 20221102211542.0
007 cr nn 008mamaa
008 110222s2011 xxu| s |||| 0|eng d
020 _a9781441988348
_9978-1-4419-8834-8
024 7 _a10.1007/978-1-4419-8834-8
_2doi
050 4 _aQA76.76.A65
072 7 _aUB
_2bicssc
072 7 _aCOM032000
_2bisacsh
072 7 _aUX
_2thema
082 0 4 _a005.3
_223
100 1 _aÖzsu, M. Tamer.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_966554
245 1 0 _aPrinciples of Distributed Database Systems
_h[electronic resource] /
_cby M. Tamer Özsu, Patrick Valduriez.
250 _a3rd ed. 2011.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2011.
300 _aXX, 846 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Background -- Distributed Database Design -- Database Integration -- Data and Access Control -- Overview of Query Processing -- Query Decomposition and Data Localization -- Optimization of Distributed Queries -- Multidatabase Query Processing -- Introduction to Transaction Management -- Distributed Concurrency Control -- Distributed DBMS Reliability -- Data Replication -- Parallel Database Systems -- Distributed Object Database Management -- Peer-to-Peer Data Management -- Web Data Management -- Current Issues -- References -- Index.
520 _aThis 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.
650 0 _aApplication software.
_966555
650 0 _aComputer engineering.
_910164
650 0 _aComputer networks .
_931572
650 1 4 _aComputer and Information Systems Applications.
_966556
650 2 4 _aComputer Engineering and Networks.
_966557
700 1 _aValduriez, Patrick.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_966558
710 2 _aSpringerLink (Online service)
_966559
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9781441988331
776 0 8 _iPrinted edition:
_z9781441988355
776 0 8 _iPrinted edition:
_z9781493941742
856 4 0 _uhttps://doi.org/10.1007/978-1-4419-8834-8
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cETB
999 _c81674
_d81674