An improved support vector machine-based network traffic prediction algorithm

2014 ◽  
Author(s):  
Zhu Yun
Keyword(s):  
Support Vector Machine ◽  
Network Traffic ◽  
Prediction Algorithm ◽  
Traffic Prediction ◽  
Support Vector ◽  
Improved Support Vector Machine

Application on Network Traffic Prediction Based on Least Squares Support Vector Machine

2010 ◽  
Vol 20-23 ◽  
pp. 364-369 ◽  
Author(s):  
Yu Zhuo Ren ◽  
Ke Wen Xia ◽  
Yan Wang ◽  
Jun Shi
Keyword(s):  
Support Vector Machine ◽  
Least Squares ◽  
Network Traffic ◽  
High Accuracy ◽  
Traffic Model ◽  
Traffic Prediction ◽  
Support Vector ◽  
Actual Application ◽  
Sample Data ◽  
Network Traffic Model

The network traffic is one of the important metrics for describing network behaviors, it plays an important role in network design, network protocol and traffic project implementation. In order to solve some problems in network traffic prediction, according to actual data for network- monitoring traffic, an approach to network traffic prediction is presented based on least squares support vector machine (LS-SVM), it mainly includes selecting for sample data of network traffic, normalization processing of data, network traffic model trained by LS-SVM and network traffic prediction, etc. Actual application results indicate that the method of network traffic prediction has high accuracy and good feasibility.

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