Distributed Fault Diagnosis Using Bayesian Reasoning in MAGNETO

Arozarena, Pablo and Toribio, Raquel and Carrera Barroso, Alvaro (2011). Distributed Fault Diagnosis Using Bayesian Reasoning in MAGNETO. In: "30th IEEE Symposium on Reliable Distributed Systems Workshops", 04/10/2011 - 07/10/2011, Madrid, Spain. ISBN 978-0-7695-4451-9.

Description

Title: Distributed Fault Diagnosis Using Bayesian Reasoning in MAGNETO
Author/s:
  • Arozarena, Pablo
  • Toribio, Raquel
  • Carrera Barroso, Alvaro
Item Type: Presentation at Congress or Conference (Article)
Event Title: 30th IEEE Symposium on Reliable Distributed Systems Workshops
Event Dates: 04/10/2011 - 07/10/2011
Event Location: Madrid, Spain
Title of Book: Proceedings of 30th IEEE Symposium on Reliable Distributed Systems Workshops
Date: 2011
ISBN: 978-0-7695-4451-9
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería de Sistemas Telemáticos [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Many of the emerging telecom services make use of Outer Edge Networks, in particular Home Area Networks. The configuration and maintenance of such services may not be under full control of the telecom operator which still needs to guarantee the service quality experienced by the consumer. Diagnosing service faults in these scenarios becomes especially difficult since there may be not full visibility between different domains. This paper describes the fault diagnosis solution developed in the MAGNETO project, based on the application of Bayesian Inference to deal with the uncertainty. It also takes advantage of a distributed framework to deploy diagnosis components in the different domains and network elements involved, spanning both the telecom operator and the Outer Edge networks. In addition, MAGNETO features self-learning capabilities to automatically improve diagnosis knowledge over time and a partition mechanism that allows breaking down the overall diagnosis knowledge into smaller subsets. The MAGNETO solution has been prototyped and adapted to a particular outer edge scenario, and has been further validated on a real testbed. Evaluation of the results shows the potential of our approach to deal with fault management of outer edge networks.

More information

Item ID: 12213
DC Identifier: http://oa.upm.es/12213/
OAI Identifier: oai:oa.upm.es:12213
Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6076793
Deposited by: Memoria Investigacion
Deposited on: 29 Aug 2012 08:05
Last Modified: 21 Apr 2016 11:25
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