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Mining and control of network traffic by computational intelligence

Opened Access Mining and control of network traffic by computational intelligence
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Título Alternativo: Minería de datos y control de tráfico de red mediante inteligencia computacional
Autor: Montesino Pouzols, Federico
Director: Barriga Barros, Ángel
López García, Diego Rafael
Departamento: Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo
Fecha: 2009-04-21
Tipo de documento: Tesis Doctoral
Resumen: The structure and behavior of packet switched networks is difficult to model in a way comparable to many natural and artificial systems, Nonetheless, the Internet is an outstanding and challenging case because of its fast development, unparalleled heterogeneity and the inherent lack of measurement and monitoring mechanisms in its core conception. This thesis deals with applications of computational intelligence methods, with an emphasis on fuzzy techniques, to a number of current issues in measurement, analysis and control of traffic in the Internet. We design and analyze novel methods and address the hardware implementation of some of them. First, we address mining of network traffic time series and traffic flow measurements. We develop a method for time series prediction by means of interpretable self-tuning fuzzy inference systems combined with a nonparametric residual variance estimation technique. The advantages of this method are illustrated through a number of time serie...
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Cita: Montesino Pouzols, F. (2009). Mining and control of network traffic by computational intelligence. (Tesis doctoral inédita). Universidad de Sevilla, Sevilla.
Tamaño: 1.826Mb
Formato: PDF

URI: http://hdl.handle.net/11441/45077

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