Stream Data Processing: A Quality of Service Perspective
(Sprache: Englisch)
The systems used to process data streams and provide for the needs of stream-based applications are Data Stream Management Systems (DSMSs).
This book presents a new paradigm to meet the needs of these applications, including a detailed discussion of...
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Klappentext zu „Stream Data Processing: A Quality of Service Perspective “
The systems used to process data streams and provide for the needs of stream-based applications are Data Stream Management Systems (DSMSs).
This book presents a new paradigm to meet the needs of these applications, including a detailed discussion of the techniques proposed. Ii includes important aspects of a QoS-driven DSMS (Data Stream Management System) and introduces applications where a DSMS can be used and discusses needs beyond the stream processing model. It also discusses in detail the design and implementation of MavStream. This volume is primarily intended as a reference book for researchers and advanced-level students in computer science. It is also appropriate for practitioners in industry who are interested in developing applications.
Inhaltsverzeichnis zu „Stream Data Processing: A Quality of Service Perspective “
OVERVIEW OF DATA STREAM PROCESSING.- DSMS CHALLENGES.- LITERATURE REVIEW.- MODELING CONTINUOUS QUERIES OVER DATA STREAMS.- SCHEDULING STRATEGIES FOR CQs.- LOAD SHEDDING IN DATA STREAM MANAGEMENT SYSTEMS.- NFMi: AN INTER-DOMAIN NETWORK FAULT MANAGEMENT SYSTEM.- INTEGRATING STREAM AND COMPLEX EVENT PROCESSING.- MavStream: DEVELOPMENT OF A DSMS PROTOTYPE.- INTEGRATING CEP WITH A DSMS.- CONCLUSIONS AND FUTURE DIRECTIONS.
Bibliographische Angaben
- Autoren: Sharma Chakravarthy , Qingchun Jiang
- 2009, 324 Seiten, Maße: 16,1 x 24,3 cm, Gebunden, Englisch
- Verlag: Springer
- ISBN-10: 0387710027
- ISBN-13: 9780387710020
Sprache:
Englisch
Rezension zu „Stream Data Processing: A Quality of Service Perspective “
From the reviews:"The motivation for this book comes from the need for applications that can process data continuously from one or more sources, with good performance in terms of satisfying the requirements of Quality of Service ... . The material of this book can be used for a graduate course, as a reference book for the researcher familiar with this domain, or as a very good introductory text for people interested in the areas of stream and complex event processing." (Mirel Cosulschi, Zentralblatt MATH, Vol. 1170, 2009)
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