Novel clustering algorithm based on timing alarm

The invention discloses a novel clustering algorithm based on timing alarm, and mainly solves the clustering problem of massive timing alarm data generated by large-scale clustering equipment in a cloud environment in the prior art. According to the method, a new relation matrix between alarms is constructed by utilizing the relation of time differences between every two alarms in a set time window, and then K-is utilized; and the column vectors in the relation matrix are clustered by a K-means algorithm to obtain an alarm clustering result. By means of the scheme, the purposes that operationand maintenance personnel usually utilize clustering results of the alarm data to accurately locate, troubleshoot and repair faults and errors and maintain normal operation of the system are achieved,and the novel clustering algorithm has high practical value and popularization value in the field of operation and maintenance of cloud service providers. 本发明公开了一种基于时序性告警的新型聚类算法，主要解决现有技术中云环境下大规模集群设备所产生海量时序性告警数据的聚类问题。本发明利用设定时间