An ASON Alarm Correlation Method Based on Hierarchical Attribute Similarity Clustering
Gao Hui-shen · Science Technology and Engineering · 2015
Aiming at the shortage that the traditional attribute similarity alarm clustering cannot fully exploit alarm attribute semantic information,combining with ASON alarm features,the significance of alarm attribute semantic information for alarm clustering is analyzed,and an attribute similarity function with hierarchical feature is defined,which enhances the objectivity of the clustering results. The clustering results were compared by alarm history library complexity and clustering expansion rate. Experiments showed that,compared with the traditional method,the accuracy of the method in this paper was higher. For a certain period with more types of faults generating,method in this paper was of good adaptability.