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Integrated, Distributed Fault Management for Communication Networks
Author(s) -
John S. Baras,
H. Li,
Georges Mykoniatis
Publication year - 1998
Publication title -
digital repository at the university of maryland (university of maryland college park)
Language(s) - English
Resource type - Reports
DOI - 10.21236/ada440085
Subject(s) - computer science , distributed computing , fault (geology) , geology , seismology
: 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.

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