Integrated, Distributed Fault Management for Communication Networks
dc.contributor.advisor | Baras, John S. | en_US |
dc.contributor.author | Baras, John S. | en_US |
dc.contributor.author | Li, Hongjun | en_US |
dc.contributor.author | Mykoniatis, G. | en_US |
dc.contributor.department | ISR | en_US |
dc.contributor.department | CSHCN | en_US |
dc.date.accessioned | 2007-05-23T10:06:19Z | |
dc.date.available | 2007-05-23T10:06:19Z | |
dc.date.issued | 1998 | en_US |
dc.description.abstract | This report describes an integrated, distributed fault management (IDFM) system for communication networks. The architecture is based on a distributed intelligent agent paradigm, with probabilistic networks as the framework for knowledge representation and evidence inferencing. A static strategy for generating the suggestive test sequence is proposed, based on which a heuristic dynamic strategy is initiated. Another dynamic strategy, formulated as a Markov decision problem, is also provided. To solve this problem, reinforcement learning techniques are investigated. | en_US |
dc.format.extent | 425775 bytes | |
dc.format.mimetype | application/pdf | |
dc.identifier.uri | http://hdl.handle.net/1903/5979 | |
dc.language.iso | en_US | en_US |
dc.relation.ispartofseries | ISR; TR 1998-21 | en_US |
dc.relation.ispartofseries | CSHCN; TR 1998-10 | en_US |
dc.subject | network management | en_US |
dc.subject | expert systems | en_US |
dc.subject | knowledge representation | en_US |
dc.subject | belief networks | en_US |
dc.subject | intelligent agents | en_US |
dc.subject | reinforcement learning | en_US |
dc.subject | Intelligent Control Systems | en_US |
dc.subject | Systems Integration Methodology | en_US |
dc.title | Integrated, Distributed Fault Management for Communication Networks | en_US |
dc.type | Technical Report | en_US |
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