A Self-diagnosis Algorithm Based on Causal Graphs

The concept of autonomic networking has been introduced to facilitate network management that is increasingly complex. It uses a closed control loop proposed by the autonomic computing. Obviously, this approach relies on a distributed architecture. This implies that the diagnosis algorithms have to be distributed in order to satisfy autonomic architecture requirements. In this paper we describe novel algorithms regarding the use of causal graph model to perform diagnosis distribution in telecommunication networks.