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

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 s...

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Bibliographic Details
Main Authors: Chakravarthy, Sharma, Jiang, Qingchun (Author)
Format: eBook
Language:English
Published: New York, NY Springer US 2009, 2009
Edition:1st ed. 2009
Series:Advances in Database Systems
Subjects:
Computer Communication Networks
Multimedia Systems
Information Storage And Retrieval
Data Structures And Information Theory
Database Management
Application Software
Computer Networks 
Information Storage And Retrieval Systems
Information Theory
Data Structures (computer Science)
Computer And Information Systems Applications
Multimedia Information Systems
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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
  • NFMi: AN INTER-DOMAIN NETWORK FAULT MANAGEMENT SYSTEM
  • INTEGRATING STREAM AND COMPLEX EVENT PROCESSING
  • MavStream: DEVELOPMENT OF A DSMS PROTOTYPE
  • INTEGRATING CEP WITH A DSMS
  • CONCLUSIONS AND FUTURE DIRECTIONS.

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