Stream Data Management

Edited by Chaudhry, Nauman; Edited by Shaw, Kevin; Edited by Abdelguerfi, Mahdi

Researchers in data management have recently recognized the importance of a new class of data-intensive applications that requires managing data streams, i.e., data composed of continuous, real-time sequence of items. Streaming applications pose new and interesting challenges for data management systems. Such application domains require queries to be evaluated continuously as opposed to the one time evaluation of a query for traditional applications. Streaming data sets grow continuously and queries must be evaluated on such unbounded data sets. These, as well as other challenges, require a major rethink of almost all aspects of traditional database management systems to support streaming applications. Stream Data Management comprises eight invited chapters by researchers active in stream data management. The collected chapters provide exposition of algorithms, languages, as well as systems proposed and implemented for managing streaming data. Stream Data Management is designed to appeal to researchers or practitioners already involved in stream data management, as well as to those starting out in this area. This book is also suitable for graduate students in computer science interested in learning about stream data management.

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[目次]

  • to Stream Data Management.- Query Execution and Optimization.- Filtering, Punctuation, Windows and Synopses.- XML & Data Streams.- CAPE: A Constraint-Aware Adaptive Stream Processing Engine.- Efficient Support for Time Series Queries in Data Stream Management Systems.- Managing Distributed Geographical Data Streams with the GIDB Portal System.- Streaming Data Dissemination Using Peer-Peer Systems.

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この本の情報

書名 Stream Data Management
著作者等 Abdelguerfi, Mahdi
Shaw, Kevin
Chaudhry, Nauman
シリーズ名 Advances in Database Systems 30
出版元 Springer-Verlag New York Inc.
刊行年月 2010.10.22
版表示 1st ed. Softcover of orig. ed. 2005
ページ数 188p
大きさ H234 x W156
ISBN 9781441937384
言語 英語
出版国 アメリカ合衆国
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