Title: Active Fault Reasoning in Communication Networks
Authors: Yongning Tang, Ehab Al-Shaer
Abstract: Different fault reasoning techniques are used in fault localization for either deterministic or probabilistic fault causality model. Symptom-Fault map is commonly used to describe Symptom-Fault causality in fault reasoning. However lost and spurious symptoms severely affect both performance and accuracy of fault reasoning. In this paper, we propose an extended Symptom-Fault-Action model to incorporate actions into fault reasoning process to tackle the above problem. Simulation study shows both performance and accuracy of fault reasoning can be greatly improved by taking actions, especially when the rate of spurious and lost symptoms is high.
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