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Advances in Database Systems

Stream Data Processing: A Quality of Service Perspective

Modeling, Scheduling, Load Shedding, and Complex Event Processing

Authors: Chakravarthy, Sharma, Qingchun, Jiang

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  • 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
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  • ISBN 978-0-387-71003-7
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About this book

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.

 

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)


Table of contents (12 chapters)

Table of contents (12 chapters)
  • INTRODUCTION

    Pages 1-7

    Chakravarthy, Sharma (et al.)

  • OVERVIEW OF DATA STREAM PROCESSING

    Pages 9-21

    Chakravarthy, Sharma (et al.)

  • DSMS CHALLENGES

    Pages 23-31

    Chakravarthy, Sharma (et al.)

  • LITERATURE REVIEW

    Pages 33-48

    Chakravarthy, Sharma (et al.)

  • MODELING CONTINUOUS QUERIES OVER DATA STREAMS

    Pages 49-93

    Chakravarthy, Sharma (et al.)

Buy this book

eBook $149.00
price for USA in USD (gross)
  • ISBN 978-0-387-71003-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.99
price for USA in USD
  • ISBN 978-0-387-71002-0
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Online orders shipping within 2-3 days.
Softcover $199.00
price for USA in USD
  • ISBN 978-1-4419-4373-6
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Stream Data Processing: A Quality of Service Perspective
Book Subtitle
Modeling, Scheduling, Load Shedding, and Complex Event Processing
Authors
Series Title
Advances in Database Systems
Series Volume
36
Copyright
2009
Publisher
Springer US
Copyright Holder
Springer-Verlag US
eBook ISBN
978-0-387-71003-7
DOI
10.1007/978-0-387-71003-7
Hardcover ISBN
978-0-387-71002-0
Softcover ISBN
978-1-4419-4373-6
Series ISSN
1386-2944
Edition Number
1
Number of Pages
XXVI, 324
Number of Illustrations
50 b/w illustrations
Topics

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