Multi-Agent and Neural Network based Network Fault Diagnosis and 2-Dimensional Visualization
Liu Feng-yu · Acta Simulata Systematica Sinica · 2005
A network fault diagnosis and visualization system is proposed based on neural network and multi-agent.Each network has a Network Fault Symptom Collection Agent (NFSC Agent),which collects and preprocesses the network fault symptom information.The collected and preprocessed network fault symptom information will then be sent to the Network Fault Diagnosis Agent (NFD Agent) for diagnosis and visualization.The advantage of the proposed system is that the NFD Agent can simultaneously diagnosis the network fault and dynamically monitor the networks' the running status in 2-dimensional visualization.Experimental results demonstrate the effectiveness and robustness of the proposed system.