Mining and Control of Network Traffic by Computational Intelligence

As other complex systems in social and natural sciences as well as in engineering, the Internet is hard to understand from a technical point of view. Packet switched networks defy analytical modeling. The Internet is an outstanding and challenging case because of its fast development, unparalleled h...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Pouzols, Federico Montesino (Autor), Lopez, Diego R. (Autor), Barros, Joaquim (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Colección:Studies in Computational Intelligence, 342
Temas:
Computational intelligence.
Artificial intelligence.
Telecommunication.
Application software.
Computational Intelligence.
Artificial Intelligence.
Communications Engineering, Networks.
Computer and Information Systems Applications.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Internet Science
  • Modeling time series by means of fuzzy inference systems
  • Predictive models of network traffic load
  • Summarization and analysis of network traffic flow records
  • Inference Systems for Network Traffic Control
  • Open FPGA-Based Development Platform for Fuzzy Inference Systems.

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