Journal of Xidian University ›› 2019, Vol. 46 ›› Issue (4): 1-8.doi: 10.19665/j.issn1001-2400.2019.04.001

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Efficient alarm analysis approach for communication networks

QI Xiaogang1,HU Qiuqiu1,YAO Xuqing2,LIU Lifang3   

  1. 1.School of Mathematics and Statistics, Xidian Univ., Xi’an 710071, China
    2.Shanxi Co. Ltd., China Mobile Group Co. Ltd., Taiyuan 030002, China
    3.School of Computer Science and Technology, Xidian Univ., Xi’an 710071, China
  • Received:2019-03-04 Online:2019-08-20 Published:2019-08-15

Abstract:

Considering the irrationality of this hypothesis that previous most alarm analysis studies were based on the premise that all alarms in the communication network are equal, a weighted alarm analysis method is proposed. First, according to the significance of the alarm in the network, the entropy method is used to assign different weight values for different alarms, and these values are transformed into a sequence dataset suitable for data mining. Then, a weighted alarm sequential pattern mining algorithm is proposed which uses an original pruning strategy to reduce the size of dataset needing to be mined to improve the efficiency of the algorithm. Finally, the algorithm is used to mine sequential relationship in alarm data. Experimental results show that this weighted alarm analysis approach has a good performance in pruning effectiveness, mining of the important alarm sequential pattern and execution efficiency.

Key words: correlation analysis, network management, entropy method, pruning strategy, weighted alarm sequence pattern mining algorithm

CLC Number: 

  • TP301

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