We propose a framework for automating fault management using distributed software agents. The management task is distributed among multiple agents that can carry out advanced reasoning activities on the network domain.
Bayesian network is used in network domain modeling.
The agent detects, correlates and selectively seeks to derive a clear explanation of the alarms generated in its domain. Depending on the network's degree of automation, the agent can even carry out local recovery actions. We identify the potentialities of learning in the agent model, and present the class of problems to be addressed. Additional Documents For further information on the theme see below. PDF version of the detailed document is available.