A time-aware fault diagnosis system in LAN

In today´s cyber-world, network faults not only bring unexpected damages and misgiving to the enterprises, but also cause the loss of customers without a sign. To promote the quality of network services and the competition of enterprises, plenty of network management activities are funded to develop competent fault management mechanisms. In this paper, we offer a fault diagnosis mechanism for effective and automated network fault isolation. This mechanism uses finite state machine (FSM) to model refined fault propagation behaviors. The concept called fault propagation duration is also incorporated into the mechanism and combined with the FSM-based fault propagation knowledge to realize the mechanism. Based on the diagnosis mechanism, an automated fault diagnosis system called alarm correlation view (ACView) for isolating network faults is built. This diagnosis system can not only provide the automated process of alarm collection, alarm correlation, and fault isolation, but identify the propagation of each fault with a corresponding severity