A scalable rule-based Reasoning Algorithm for fault diagnosis

Because of network connection and the relations among services and network devices, a network fault usually happens with a series of related faults. These conditions bring complications to find out the exact root fault that leads fault storms. We have proposed a knowledge-based fault diagnosis model and a rule-based reasoning algorithm in our previous work. As we all know, control strategy and rules are often expanded or changed in fault reasoning. Based on the previous work, this paper proposes an Optimized Fault Reasoning Algorithm(OFRA) that can be scalable and maintainable based on two design patterns. We also implement OFRA in a real network and use real fault cases to validate the efficiency of the scalability and maintenance of OFRA.