Network Video Traffic Classification Based on Probability Distribution of M Value

YANG Lingyun; DONG Yuning; WANG Zaijian; TANG Pingping

doi:10.11999/JEIT170617

Volume 40 Issue 5

May 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(5): 1094-1100

YANG Lingyun, DONG Yuning, WANG Zaijian, TANG Pingping. Network Video Traffic Classification Based on Probability Distribution of M Value[J]. Journal of Electronics & Information Technology, 2018, 40(5): 1094-1100. doi: 10.11999/JEIT170617

Citation:

YANG Lingyun, DONG Yuning, WANG Zaijian, TANG Pingping. Network Video Traffic Classification Based on Probability Distribution of M Value[J]. Journal of Electronics & Information Technology, 2018, 40(5): 1094-1100. doi: 10.11999/JEIT170617

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Network Video Traffic Classification Based on Probability Distribution of M Value

doi: 10.11999/JEIT170617

1.
2.
(College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications,Nanjing 210003, China)

Funds:

The National Natural Science Foundation of China (61271233, 61401004, 61601005), The HIRP Program of Huawei Technology Co. Ltd, The Ph.D Programs Foundation of Anhui Normal University (2016XJJ129)

Received Date: 2017-06-28
Rev Recd Date: 2018-02-23
Publish Date: 2018-05-19

Abstract

Abstract

To obtain better results for fine-grained video traffic classification, this paper analyzes the relationship between the feature variations during transmission and video traffic classification. According to the nature that different types of video services contain different downlink transmission rate variation patterns, a new video flow feature M value probability distribution, based on downlink byte rate variation is proposed, and video classification is realized by Support Vector Machine (SVM). The experimental results show that the probability distribution of M value is a better feature for classification of six kinds of common network video applications than other commonly used flow features.
- Network video,
- Traffic classification,
- Probability distribution of M value

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References(24)

References

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