A Framework for Supporting Intelligent Fault and Performance Management for Communication Networks

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dc.contributor.authorLi, Hongjunen_US
dc.contributor.authorBaras, John S.en_US
dc.contributor.departmentISRen_US
dc.contributor.departmentCSHCNen_US
dc.date.accessioned2007-05-23T10:11:21Z
dc.date.available2007-05-23T10:11:21Z
dc.date.issued2001en_US
dc.description.abstractIn this paper, we present a framework for supporting intelligent fault and performance management for communication networks. Belief networks are taken as the basis for knowledge representation and inference under evidence. When using belief networks for diagnosis, we identify two questions: When can I say that I get the right diagnosis and stop? If right diagnosis has not been obtained yet, which test should I choose next? <p>For the first question, we define the notion of right diagnosis via the introduction of intervention networks. For the second question, we formulate the decision making procedure using the framework of partially observable Markov decision processes. A heuristic dynamic strategy is proposed to solve this problem and the effectiveness is shown via simulation.en_US
dc.format.extent468163 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/6234
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 2001-20en_US
dc.relation.ispartofseriesCSHCN; TR 2001-13en_US
dc.subjectGlobal Communication Systemsen_US
dc.titleA Framework for Supporting Intelligent Fault and Performance Management for Communication Networksen_US
dc.typeTechnical Reporten_US

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