An approach to self management based on automatic diagnostics
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Management operations imply, most of the time, the
implementation of prevention policies in order to avoid faults
and to provide expeditious answers to those faults.
This paper present an architecture that allows to infer about
network symptoms and to correlate these with well-known
anomalies in order to provide the adequate diagnostic that
will drive to the fault repair.