Stream Data Processing: A Quality of Service Perspective: Modeling, Scheduling, Load Shedding, and Complex Event Processing / Edition 1
by Sharma Chakravarthy, Jiang QingchunISBN-10: 0387710027
ISBN-13: 9780387710020
Pub. Date: 06/16/2008
Publisher: Springer US
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
Overview
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.
Product Details
- ISBN-13:
- 9780387710020
- Publisher:
- Springer US
- Publication date:
- 06/16/2008
- Series:
- Advances in Database Systems Series , #36
- Edition description:
- 2009
- Pages:
- 324
- Product dimensions:
- 6.30(w) x 9.10(h) x 0.90(d)
Table of Contents
Preface.- Introduction.- 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.- NFM-i: An Inter-Domain Fault Management System.- Architecture for Integrating Stream and Complex Event Processing.- MavStream: Design and Implementation of a DSMS Prototype.- MavEStream: Design and Integration of CEP with a DSMS.- Conclusions and Open Problems.- References.- Index.
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