Anomaly-Tolerant Network Traffic Estimation via Noise-Immune Temporal Matrix Completion Model

2019 ◽  
Vol 37 (6) ◽  
pp. 1192-1204 ◽  
Author(s):  
Fu Xiao ◽  
Lei Chen ◽  
Hai Zhu ◽  
Richang Hong ◽  
Ruchuan Wang
2020 ◽  
Vol 17 (4) ◽  
pp. 2677-2689
Author(s):  
Qianqian Wang ◽  
Lei Chen ◽  
Qin Wang ◽  
Hongbo Zhu ◽  
Xianbin Wang

2013 ◽  
Vol 380-384 ◽  
pp. 3337-3341
Author(s):  
Song Guan ◽  
Yue Hua Li ◽  
Ling Wang ◽  
Fan Bo Meng

In this paper, we study the problem of end-to-end network traffic estimation in the electric power communication network. Based on principal component analysis and multifractal wavelet model, we propose an effective and precise approach to estimate each origin-destination pair. Numeral results state that our method can capture the changes of end-to-end network traffic accurately in electric power communication network.


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