Overview
- Includes important aspects of a QoS-driven DSMS (Data Stream Management System)
- Introduces applications where a DSMS can be used and discusses needs beyond the stream processing model
- Discusses in detail the design and implementation of MavStream
Part of the book series: Advances in Database Systems (ADBS, volume 36)
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About this book
In recent years, a new class of applications has come to the forefront { p- marily due to the advancement in our ability to collect data from multitudes of devices, and process them e ciently. These include homeland security - plications, sensor/pervasive computing applications, various kinds of mo- toring applications, and even traditional applications belonging to nancial, computer network management, and telecommunication domains. These - plications need to process data continuously (and as long as data is available) from one or more sources. The sequence of data items continuously gen- ated by sources is termed a data stream. Because of the possible never-ending nature of a data stream, the amount of data to be processed is likely to be unbounded. In addition, timely detection of interesting changes or patterns or aggregations over incoming data is critical for many of these applications. Furthermore, the data arrival rates may uctuate over a period of time and may be bursty at times. For most of these applications, Quality of Service (or QoS) requirements, such as response time, memory usage, and throughput are extremely important. These application requirements make it infeasible to simply load the incoming data streams into a persistent store and process them e ectively using currently available database management techniques.
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Keywords
Table of contents (12 chapters)
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Front Matter
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Back Matter
Reviews
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)
Bibliographic Information
Book Title: Stream Data Processing: A Quality of Service Perspective
Book Subtitle: Modeling, Scheduling, Load Shedding, and Complex Event Processing
Authors: Qingchun Jiang, Sharma Chakravarthy
Series Title: Advances in Database Systems
DOI: https://doi.org/10.1007/978-0-387-71003-7
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag US 2009
Hardcover ISBN: 978-0-387-71002-0Published: 08 May 2009
Softcover ISBN: 978-1-4419-4373-6Published: 02 December 2010
eBook ISBN: 978-0-387-71003-7Published: 09 April 2009
Series ISSN: 1386-2944
Edition Number: 1
Number of Pages: XXVI, 324
Number of Illustrations: 50 b/w illustrations
Topics: Data Structures and Information Theory, Database Management, Information Storage and Retrieval, Information Systems Applications (incl. Internet), Computer Communication Networks, Multimedia Information Systems