Using POMDP as Modeling Framework for Network Fault Management

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dc.contributor.advisorShayman, Mark A.en_US
dc.contributor.authorHe, Qimingen_US
dc.contributor.authorShayman, Mark A.en_US
dc.contributor.departmentISRen_US
dc.date.accessioned2007-05-23T10:07:25Z
dc.date.available2007-05-23T10:07:25Z
dc.date.issued1999en_US
dc.description.abstractFor highדּpeed networks, it is important that fault management be proactive--i.e., detect, diagnose, and mitigate problems before they result in severe degradation of network performance. Proactive fault manageשּׂent depends on monitoring the network to obtain the data on which to base manager decisions. However, monitoring introduces additional overhead that may itself degrade network performance especially when the network is in a stressed state. Thus, a tradeoff must be made be﫠tween the amount of data collected and transferred on one hand, and the speed and accuracy of fault detection and diagnosis on the other hand. Such a tradeoff can be naturally formulated as a Partially Observable Markov decision process (POMDP).<p>Since exact solution of POMDPs for a realistic number of states is computationally prohibitive, we develop a reinforcementשּׁearningﬢased fast algorithm which learns the decisionגּule in an approximate network simulator and makes it fast deployable to the real network. Simulation results are given to diagnose a switch fault in an ATM network. This approach can be applied to centralized fault management or to construct intelligent agents for distributed fault management.en_US
dc.format.extent326744 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/6032
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1999-67en_US
dc.subjectfault diagnosisen_US
dc.subjectnetwork managementen_US
dc.subjectnetwork fault managementen_US
dc.subjectPOMDPen_US
dc.subjectIntelligent Control Systemsen_US
dc.titleUsing POMDP as Modeling Framework for Network Fault Managementen_US
dc.typeTechnical Reporten_US

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