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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Chakravarthy, Sharma (Autor), Jiang, Qingchun (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Advances in Database Systems ; 36
Temas:
Data structures (Computer science).
Information theory.
Database management.
Information storage and retrieval systems.
Application software.
Computer networks .
Multimedia systems.
Data Structures and Information Theory.
Database Management.
Information Storage and Retrieval.
Computer and Information Systems Applications.
Computer Communication Networks.
Multimedia Information Systems.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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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