H//sub/spl infin//-optimal model for VBR video traffic prediction

2006 ◽  
Vol 52 (3) ◽  
pp. 1078-1083 ◽  
Author(s):  
Yongfang Wang ◽  
Songyu Yu ◽  
Xiaokang Yang ◽  
Daowen Zou ◽  
Zhijun Fang
Keyword(s):  
Traffic Prediction ◽  
Video Traffic ◽  
Optimal Model ◽  
Vbr Video ◽  
Video Traffic Prediction

Design of a Novel Variable Bit Rate Video Traffic Prediction Model Based on Neural Networks

2014 ◽  
Vol 989-994 ◽  
pp. 4143-4146
Author(s):  
Zuo Zheng Lian ◽  
Hai Zhen Wang ◽  
Da Hui Li
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Prediction Model ◽  
Bp Neural Network ◽  
Prediction Performance ◽  
Traffic Prediction ◽  
Variable Bit Rate ◽  
Video Traffic ◽  
Vbr Video ◽  
Video Traffic Prediction

The video business has gradually become the main business of the network traffic, video traffic is Variable Bit Rate (VBR), which has nonlinear and sudden features, a single prediction model is not fit for describing those features, and prediction accuracy is not high. Because of wavelet analysis has advantages of multi-resolution and dealing with unexpectedness, and the neural network has better nonlinear fitting characteristics, in order to improve the prediction performance, the paper researched on the problem of VBR video traffic prediction based on neural networks, a novel prediction model AMWM is proposed, the model firstly introducing BP neural network to multi-fractal wavelet model, and designing prediction method, which introduced multi-fractal wavelet model to model VBR video traffic, and then applying BP neural network to forecast scale coefficient decomposed, and forecast multiplier using AR model, and predict traffic generated by wavelet reconstruction. Finally, the model is built and simulated. The experimental result shows that prediction performance based AMWM is better compared with multi-fractal wavelet model.

scholarly journals Smoothing-Aided Support Vector Machine Based Nonstationary Video Traffic Prediction Towards B5G Networks

2020 ◽  
Vol 69 (7) ◽  
pp. 7493-7502
Author(s):  
Yingqi Li ◽  
Juan Wang ◽  
Xiaochuan Sun ◽  
Zhigang Li ◽  
Miao Liu ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Traffic Prediction ◽  
Support Vector ◽  
Video Traffic ◽  
Video Traffic Prediction

scholarly journals 4K video traffic prediction using seasonal autoregressive modeling

2017 ◽  
Vol 9 (1) ◽  
pp. 8-13
Author(s):  
Dejan Markovic ◽  
Ana Gavrovska ◽  
Irini Reljin
Keyword(s):  
Traffic Prediction ◽  
Autoregressive Modeling ◽  
Video Traffic ◽  
Video Traffic Prediction
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