基于Rete规则推理的告警关联性分析

针对现有规则推理算法无法实现在当前大规模复杂多变的网络环境中准确、实时地推理告警规则的问题，提出了一种改进的规则推理算法Im_Rete.该算法结合网络告警数据的特点，采用面向告警缺失的模糊推理策略和基于概率关联模型的事实传播策略，在提高推理准确性的同时平衡推理速度，能够更加有效地对告警进行关联分析.通过仿真实验进行对比分析，结果表明Im_Rete算法在推理速度和准确性方面均具有较好的性能.

Alarm Correlation Analysis Based on Rete Rule Reasoning

With the continuous development of networks, alarm correlation analysis has received extensive attention as an important means of fault diagnosis. However, in a complex network environment, problems such as link interruption, congestion caused by network faults may result in the loss of alarm data, and the amount of transient alarms caused by fault propagation may be massive. These problems make existing rule-based reasoning algorithms are difficult to meet the accuracy and real-time requirements of root cause alarm reasoning. The algorithm based on the characteristics of network alarm uses fuzzy logic-based reasoning strategies and fact-based communication strategies based on probabilistic association models to balance the speed of reasoning while improving the accuracy of reasoning. The algorithm can more effectively correlate alarms. Finally, through simulation experiments, the experimental results show that the Im_Rete algorithm has better performance in terms of speed and accuracy.