Regular papers

 

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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REFERENCIAS

[1] J. R. Hilera y V. J. Martínez, Redes Neuronales Artificiales, Alfaomega, 2000.         [ Links ]

[2] G. Box, G. M. Jenkins, and G. Reinsel, Time Series Analysis, Forecasting and Control, Holden Day Series, 1976.         [ Links ]

[3] J. G. Proakis y D. G. Manolakis, Tratamiento Digital de Señales, Pretince–Hall, 1998.         [ Links ]

[4] Yen–Chieh Ouyang and Li–Bin Yeh, "Predictive bandwidth control for mpeg video: A wavelet approach for self–similar parameters estimation," in IEEE International Conference on Communications ICC 2001, vol. 5, 2001, pp. 1551–1555.         [ Links ]

[5] M. Thottan and C. Ji, "Fault prediction at the network layer using intelligent agents," in IFIP/IEEE Eighth International Symposium on Integrated Network Management, 2003, pp. 745–759.         [ Links ]

[6] R. W. Lucky, "Automatic equalization for digital communication," Bell Syst. Tech. J., vol. 44, no. 4, pp. 547–588, Apr. 1965.         [ Links ]

[7] N. Frangiadakis, M. Kyriakakos and L. Merakos, "Enhanced path prediction for network resources management in wireless LANs," IEEE wireless communications, pp.62–69, 2003.         [ Links ]

[8] San Qi Li and Chia Lin Hwang, "On the convergence of traffic measurement and queuing analysis: a statistical–matching and queuing (SMAQ) tool," IEEE/ACM Transactions on Networking, vol. 5, no. 1, 1997, pp. 95–110.         [ Links ]

[9] G. R. Faulhaber, "Design of service systems with priority reservation," in Conf. Rec. IEEE Int. Conf. Communications, 1995, pp. 3–8.         [ Links ]

[10] Aimin Sang and San–Qi Li, "A predictability analysis of network traffic," in IEEE INFOCOM, 2000.         [ Links ]

[11] W. D. Doyle, "Magnetization reversal in films with biaxial anisotropy," in Proc. INTERMAG Conf., 1987, pp. 2.2–1–2.2–6.         [ Links ]

[12] Ziming Zhang and Song Fu, "Failure prediction for automatic Management of networked computer systems with availability assurance," in 15th IEEE Workshop on Dependable Parallel, Distributed and Network–Centric Systems, 2010.         [ Links ]

[13] Y. Liang, Y. Zhang, A. Sivasubramaniam. M. Jette, and R. K. Shahoo, "BlueGene/L failure analisys and prediction models," in Proceedings of international conference on dependable Systems and networks (DSN), 2006.         [ Links ]

[14] R. K. Sahoo, A. J. Oliner, and I. Rish, "Critical event prediction for proactive management in large–scale computer clusters," in Proceedings of ACM International Conference on Knowledge Discovery and Data Dining (SIGKDD), August 2003.         [ Links ]

[15] L. Wu, D. Meng, W. Gao, and J. Zhan, "A proactive fault–detection mechanism in large–scale cluster systems," in Proceedings of IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2006.         [ Links ]

[16] S. Haykin, Neural Networks for pattern recognition, Oxford University Press Inc.         [ Links ]

[17] N. Frangiadakis, M. Kyriakakos, and L. Merakos, "Enhanced path prediction for network resources management in wireless lans," IEEE wireless communications, pp. 62–69. 2003.         [ Links ]