Stream Data Processing: A Quality of Service Perspective: Modeling, Scheduling, Load Shedding, and Complex Event Processing

Qingchun Jiang, Sharma Chakravarthy (auth.)0387710027, 978-0-387-71002-0, 978-0-387-71003-7

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.

Table of contents :
Front Matter….Pages 1-22
INTRODUCTION….Pages 1-7
OVERVIEW OF DATA STREAM PROCESSING….Pages 9-21
DSMS CHALLENGES….Pages 23-31
LITERATURE REVIEW….Pages 33-48
MODELING CONTINUOUS QUERIES OVER DATA STREAMS….Pages 49-93
SCHEDULING STRATEGIES FOR CQs….Pages 95-136
LOAD SHEDDING IN DATA STREAM MANAGEMENT SYSTEMS….Pages 137-166
NFMi: AN INTER-DOMAIN NETWORK FAULT MANAGEMENT SYSTEM….Pages 167-186
INTEGRATING STREAM AND COMPLEX EVENT PROCESSING….Pages 187-214
MavStream: DEVELOPMENT OF A DSMS PROTOTYPE….Pages 215-260
INTEGRATING CEP WITH A DSMS….Pages 261-285
CONCLUSIONS AND FUTURE DIRECTIONS….Pages 287-293
Back Matter….Pages 1-30