Network Quality Operation Prediction Based on Machine Learning Algorithms

被引：0
|
作者：
Osin, A., V
Sheluhin, O., I
机构：
来源：
2019 SYSTEMS OF SIGNALS GENERATING AND PROCESSING IN THE FIELD OF ON BOARD COMMUNICATIONS | 2019年
关键词：
time series analysis; network traffic prediction; decision tree; machine learning; network performance;
D O I：
10.1109/sosg.2019.8706754
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The article proposes a solution to the problem of predicting the quality of a computer network using a popular machine learning method - a decision tree. Considered a real case of quality problems in the network when the web server is running. Based on the analysis of traffic recorded during the operation of the network, when problems were observed in it, a decision tree was constructed. Using the obtained model, numerical experiments were carried out to predict the moments when users have problems opening web pages. The results of assessing the quality of the prediction model obtained are given.
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页数：4
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