Predicción de Fallos en Redes IP empleando Redes Neuronales Artificiales
Prediction of Failures in IP Networks using Artificial Neural Networks
Gustavo A. García1 y Octavio Salcedo2
1 Universidad Central, Bogotá D.C., Colombia y candidato a Magíster en Ciencias de la información y las comunicaciones de la Universidad Distrital Francisco José de Caldas, Colombia (e–mail: gustavoandresg@gmail.com).
2 Universidad Distrital Francisco José de Caldas, Bogotá D.C, Colombia y candidato a PhD en ingeniería Informática Universidad de Salamanca, Colombia (e–mail: octavionetworking@gmail.com).
]]>Manuscripto recibido el 23 de enero de 2010.
Manuscrito aceptado para su publciación el 31 de mayo de 2010.
Resumen
El presente artículo describe la implementación de un sistema de predicción de fallos en redes LAN (fallos de timeout y rechazo en las conexiones), utilizando redes neuronales artificiales Perceptrón Multicapa. Se describe como se implementó el sistema, las pruebas realizadas para la selección de los parámetros propios de la red neuronal, como del algoritmo de entrenamiento y los resultados de evaluación obtenidos.
Palabras clave: Predicción de fallos, MIB, red neuronal artificial, perceptrón multicapa, backpropagation.
Abstract
The paper presents the implementation of a system for predicting failures in LAN (timeout failure and rejection of connections), using neural networks (multilayer perceptron). It describes the implementation of the system, experiments conducted for the selection of specific parameters of the neural network, training algorithm and evaluation results.
]]> Key words: Prediction of failures, MIB, Artificial Neural Networks, multilayer perceptron, backpropagation.
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