Neural networks for QoS network management

Authors:
Rafael Del-Hoyo-Alonso;Pilar Fernández-de-Alarcón;Juan-José Navamuel-Castillo;Nicolás J. Medrano-Marqués;Bonifacio Martin-Del-Brio;Julián Fernández-Navajas;David Abadía-Gallego
Affiliations:
Instituto Tecnológico de Aragón, Zaragoza, Spain;Instituto Tecnológico de Aragón, Zaragoza, Spain;Instituto Tecnológico de Aragón, Zaragoza, Spain;Departamento de Electrónica y Comunicaciones, University of Zaragoza, Zaragoza, Spain;Departamento de Electrónica y Comunicaciones, University of Zaragoza, Zaragoza, Spain;Departamento de Electrónica y Comunicaciones, University of Zaragoza, Zaragoza, Spain;Instituto Tecnológico de Aragón, Zaragoza, Spain
Venue:
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Year:
2007

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Abstract

In this paper we explore the interest of computational intelligence tools in the management of heterogeneous communication networks, specifically to predict congestion, failures and other anomalies in the network that may eventually lead to degradation of the quality of offered services. We show two different applications based on neural and neurofuzzy systems for Quality of Service (QoS) management in next generation networks for V2oIP services. The two examples explained in this paper attempt to predict the communication network resources for new incoming calls, and visualizing by means of self-organizing maps the QoS of a communication network.