A multiple paradigm diagnostic system for wide area communication networks
In modern large heterogeneous wide area enterprise networks, fault mamagement requires a great deal of intelligence. This is because of the large amount of monitoring information usually available, and because of the presence of uncertain and missing messages. This paper describes a knowledge-based system that employs multiple diagnostic paradigms in parallel to achieve high accuracy in automated diagnosis. The results achieved in exhaustive testing on a large world scale network are presented.
Keywordsdiagnosis network fault management
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