Neural Networks for QoS Network Management

Autor:	Rafael del-Hoyo-Alonso, Bonifacio Martín-del-Brío, Juan-José Navamuel-Castillo, David Abadía-Gallego, Nicolás J. Medrano-Marqués, Julian Fernandez-Navajas, Pilar Fernández-de-Alarcón
Rok vydání:	2007
Předmět:	Network management Intelligent Network Computer science business.industry Quality of service Next-generation network Computational intelligence Mobile QoS business Telecommunications network Network management station Computer network
Zdroj:	Computational and Ambient Intelligence ISBN: 9783540730064 IWANN
DOI:	10.1007/978-3-540-73007-1_107
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f747c0332103fac5271b3aa687ecff63 https://doi.org/10.1007/978-3-540-73007-1_107 Zobrazit plný text záznamu