Abstract: In the cloud environment,large-scale cluster equipments will generate massive timing-featured alarms.In the practical application,operational personnel generally uses these alarms to locate,check and repair the faults and errors,and maintains the normal operation of the systems.So how to efficiently cluster the alarms and mine the key information will be core issues to keep continuous and stable operation of the cloud.Therefore,this paper proposes a novel clustering algorithm based on timing featured alarms.The algorithm constructs a new relation matrix by utilizing time difference between any two alarms in the given time window,then takes advantage of K-means algorithm to cluster the column vectors in the relation matrix,to get the cluster result of alarms.Experiment result shows that the algorithm can cluster massive alarms efficiently.

Key words: Alarms, Cluster, Data mining, Timing feature