智能化网格电信系统的故障预测方法

doi:10.11959/j.issn.1000-0801.2018118

Abstract

Abstract:

Some approaches based on deep learning would be used to analyze the process and port network on a server cluster.Specifically,the features of nodes were carefully selected in server cluster network,by combining the prior knowledge from actual operations,and the abnormal state of processes or ports on the cluster was predicted.According to the research,the running information such as loads of CPU and memory,communications between processes and the structural features in the process network was valuable in predicting the states of processes and ports; furthermore,the changes of features mentioned above in the time dimension reflected the states of processes or ports,too.

Key words: fault prediction, deep learning, binary classification

CLC Number:

TP391.1

Heng CAI,Lei GE. Intelligent fault prediction method of telecom system[J]. Telecommunications Science, 2018, 34(6): 183-191.

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测试日期	正负样本比	准确率	召回率	F1得分
4月14日	0.850%	0.941	0.640	0.762
4月15日	0.882%	0.973	0.655	0.783
4月16日	0.751%	0.953	0.891	0.921
4月17日	0.669%	0.971	0.805	0.880
4月18日	0.703%	0.723	0.791	0.756
4月19日	1.42%	0.927	0.432	0.589
4月20日	0.866%	0.951	0.735	0.830

Intelligent fault prediction method of telecom system

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