Stream Data Processing: A Quality of Service Perspective / Advances in Database Systems Bd.36 (PDF)
Traditional database management systems, widely used today, are not well-suited for a class of emerging applications. These applications, such as network management, sensor computing, and so on, need to continuously process large amounts of data coming...
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Traditional database management systems, widely used today, are not well-suited for a class of emerging applications. These applications, such as network management, sensor computing, and so on, need to continuously process large amounts of data coming in the form of a stream and in addition, meet stringent response time requirements. Support for handling QoS metrics, such as response time, memory usage, and throughput, is central to any system proposed for the above applications.
Stream Data Processing: A Quality of Service Perspective (Modeling,Scheduling, Load Shedding, and Complex Event Processing), presents a new paradigm suitable for stream and complex event processing. This book covers a broad range of topics in stream data processing and includes detailed technical discussions of a number of proposed techniques from QoS perspective.
This volume is intended as a text book for graduate courses and as a reference book for researchers, advanced-level students in computer sciences, and IT practitioners.
- Autoren: Sharma Chakravarthy , Qingchun Jiang
- 2009, 2009, 324 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 0387710035
- ISBN-13: 9780387710037
- Erscheinungsdatum: 09.04.2009
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- Dateiformat: PDF
- Grösse: 9.77 MB
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“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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