Computational intelligence tools for next generation quality of service management

Authors:
Rafael del-Hoyo;Bonifacio Martín-del-Brío;Nicolas Medrano;Julian Fernández-Navajas
Affiliations:
Instituto Tecnológico de Aragón, C/ María Luna no. 6, 50018 Zaragoza, Spain;Dept. Ingeniería Electrónica y Comunicaciones, University of Zaragoza, 50018 Zaragoza, Spain;Dept. Ingeniería Electrónica y Comunicaciones, University of Zaragoza, 50018 Zaragoza, Spain;Dept. Ingeniería Electrónica y Comunicaciones, University of Zaragoza, 50018 Zaragoza, Spain
Venue:
Neurocomputing
Year:
2009

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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 neuro-fuzzy systems for quality of service (QoS) management in next generation networks for voice and video service over heterogeneous Internet protocol (V2oIP) services. The two examples explained in this paper attempt to predict the communication network resources for new incoming calls, and visualizing the QoS of a communication network by means of self-organizing maps.