A Hierarchy Management Framework for Automated Network Fault Identification

An autonomous diagnosis approach of faulty links is proposed in this paper,. Given the information by which paths a designated network node with management responsibilities can communicate with certain other nodes, and can´t communicate with another set of node, with the help of building diagnosis model and computing probability of link´s failure the node with management responsibilities would like to identify as quickly as possible a ranked list of the most probable failed network links, and furthermore, accurately check out which links have failed by testing. Based on this approach, a hierarchy network management architecture is designed to deal with the fault diagnosis for a heterogeneous network environment. The simulation shows that this approach has the features of real-time, higher accuracy and autonomy, especially, it will occupy a few bit of bandwidth and even require no bandwidth.