Fault Detection in Autonomic Networks using the Concept of Promised Cooperation

Rémi Badonnel 1 Mark Burgess
1 MADYNES - Management of dynamic networks and services
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Fault detection is a crucial issue in autonomic networks for identifying unreliable nodes and reducing their impact on the network availability and performance. We propose in this paper to improve this situation based on the concept of promised cooperation. We exploit the promise theory framework to model voluntary cooperation among network nodes and make them capable of expressing the trust in their measurements during the detection process. We integrate this scheme into several distributed detection methods in the context of ad-hoc networks implementing the OLSR routing protocol. We quantify how the fault detection performances can be increased using this approach based on an extensive set of experimentations performed under the ns-2 network simulator.
Type de document :
Communication dans un congrès
Alexander Clemm (Cisco, USA), Lisandro Zambenedetti Granville (UFRGS, Brazil), Rolf Stadler (KTH, Sweden). 18th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management (DSOM'07, MANWEEK'07), Oct 2007, San José, CA, United States. Springer-Verlag Lecture Notes in Computer Science (LNCS)
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https://hal.inria.fr/inria-00167717
Contributeur : Rémi Badonnel <>
Soumis le : mercredi 22 août 2007 - 14:27:13
Dernière modification le : jeudi 11 janvier 2018 - 06:19:50

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  • HAL Id : inria-00167717, version 1

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Rémi Badonnel, Mark Burgess. Fault Detection in Autonomic Networks using the Concept of Promised Cooperation. Alexander Clemm (Cisco, USA), Lisandro Zambenedetti Granville (UFRGS, Brazil), Rolf Stadler (KTH, Sweden). 18th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management (DSOM'07, MANWEEK'07), Oct 2007, San José, CA, United States. Springer-Verlag Lecture Notes in Computer Science (LNCS). 〈inria-00167717〉

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