Un enfoque probabilístico en la autorreparación de redes G-PON

J. García Algarra, J. González Ordás, P. Arozarena, R. Alfonso, Á. Carrera

Resumen

El despliegue de accesos de fibra óptica hasta los hogares (Fiber To The Home, FTTH en adelante) es una prioridad de los operadores de telecomunicación para soportar nuevos servicios digitales y mejorar la experiencia de los usuarios. G-PON es la tecnología más común; su instalación plantea importantes retos en el diagnóstico y reparación de averías de esta infraestructura, de características muy diferentes a las de los tradicionales pares de cobre. En este artículo presentamos una experiencia basada en un enfoque probabilístico del problema. Copyright © 2014 CEA. Publicado por Elsevier España, S.L. Todos los derechos reservados.

Palabras clave

FTTH; G-PON; red bayesiana; agentes; autorreparación

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Referencias

Badonnel R., State R., Festor O., 2006. Probabilistic Management of Ad-Hoc Networks, NOMS 2006, Vancouver, Canada. DOI: 10.1109/NOMS.2006.1687564

Barco-Moreno R., 2007. Bayesian modeling of fault diagnosis in mobile communication networks. Ph. D. dissertation, Universidad de Málaga, Spain.

Bellifemine F., Caire G., Greenwood D., 2007. Developing Multi-Agent Systems with JADE, John Wiley & Sons, Chichester, UK.

Bratmann M, 1987. Intentions, Plans and Practical Reason. CSLI Publications, USA.

Brunner M., Dudkowski D., Mingardi C., Nunzi G., 2009. Probabilistic Decentralized Network Management, Proceedings IEEE INM 2009, Hofstra University, Long Island, New York, USA, pp. 25-32. DOI: 10.1109/INM.2009.5188783

Carrera A., Iglesias C. A., García-Algarra J., Kolařík D, 2012. A real-life application of multi-agent systems for fault diagnosis in the provision of an internet business service. Journal of Network and Computer Applications. DOI: 10.1016/j.jnca.2012.11.004

Chen C., Nagi S., Clack C., 2009, Complexity and Emergence in Engineering Systems. Complex Systems in Knowledge based Environments: Theory, Models and Applications. Tolk, Andreas; Jain, Lakhmi C. (editors). Springer: New York, NY, USA. DOI: 10.1007/978-3-540-88075-2_5

Creaner M., Reilly J., 2005. NGOSS Distilled – The Essential Guide to Next Generation Telecoms Management. The Lean Corporation.

Ding J., Krämer B., Xu S., H. Chen and Y. Bai, 2004. Predictive Fault Management in the Dynamic Environment of IP Networks, Proceedings IEEE Workshop on IP Operations and Management, pp. 233-239. DOI: 10.1109/IPOM.2004.1547622

Ding J., Jiang N., Li X., Krämer B., Davoli F., Bai Y., 2006. Construction of Simulation or Probabilistic Inference in uncertain and Dynamic Networks Based on Bayesian Networks, Intermational Coference on ITS Telecommunications, pp. 983-986. DOI: 10.1109/ITST.2006.288718

Faloutsos M., Faloutsos P., Faloutsos C., 1999. On power-law relationships of the Internet topology, Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication, pp 251-262.

García-Algarra J., Arozarena-Llopis P., García-Gómez S., Carrera-Barroso A., Toribio-Sardón R., 2011. A Lightweight Approach to Distributed Network Diagnosis under Uncertainty. In Intelligent Networking, Collaborative Systems and Applications. S. Caballé, F Xhafa and A. Ajith (editors). Springer, pp. 95-116. DOI: 10.1007/978-3-642-16793-5_5

García-Gómez S., González-Ordás J., García-Algarra J., Toribio-Sardón R., Sedano-Frade A., Buisán-García, F. KOWLAN: A Multi Agent System for Bayesian Diagnosis in Telecommunication Networks. Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT'09. IEEE/WIC/ACM International Joint Conferences on. Vol. 3, pp. 195-198.

ITU-T, 1989. Principles for a Telecommunications Management Network, Recommendation M.3010.

Lee G. J., 2007. CAPRI: A Common Architecture for Distributed Probabilistic Internet Fault Diagnosis. Ph. D. dissertation, CSAIL, MIT.

Moštak R., Spahija B., Deljac Ž., 2010. Fault diagnosis in Optical access network using Bayesian Network. SoftCom 2010. Proceedings, pp. 342- 345.

Pearl J., 1985. Bayesian networks: A model of self-activated memory for evidential reasoning, UCLA Report CSD-850017.

Prieto A., Gillblad D., Steinert R., Miron A., 2011. Toward decentralized probabilistic management, IEEE Communications Magazine, vol.49, no. 7, pp. 80-86. DOI: 10.1109/MCOM.2011.5936159

Sedano A., González-Ordás J., Arozarena P., García-Gómez S., CarreraBarroso A., 2010. Distributed Bayesian Diagnosis for Telecommunication Networks, Advances in Practical Applications of Agents and Multiagent Systems: 8th International Conference on Practical Applications of Agents and Multiagent Systems. DOI: 10.1007/978-3-642-12384-9_28

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