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Paper Abstract and Keywords
Presentation 2018-01-20 13:35
[Poster Presentation] A P2PTV Traffic Classification Method Using Machine Learning
Koji Hayashi, Takumi Miyoshi (Shibaura Inst. Tech.)
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, Internet video traffic has been rapidly increasing due to the huge demands for video streaming services. Since P2PTV applications exchange video data among peers, server load can be reduced as compared to a client/server method. As both the number of peers and the throughput vary with respect to each content, P2PTV traffic is difficult to manage and control. A method to classify and model P2PTV traffic by focusing on the number of peers and throughput has been studied. However, the classification criteria in this study are ambiguous because the authors tried to subjectively classify P2PTV traffic. Clustering, one of machine learning methods, can classify a large amount of data into some categories by calculating the similarity based on the characteristic values of input data. We thus propose a P2PTV traffic classification method using machine learning. We analyzed the characteristics of P2PTV traffic that was obtained when we watched video contents,and then examined the proposed method. In addition, we created learning data from a large amount of P2PTV contents, and classified traffic by the proposed clustering method. The classification results show that over 400 P2PTV traffic data sets can be categorized into three clusters.
Keyword (in Japanese) (See Japanese page) 
(in English) P2P / P2PTV / Machine learning / Traffic analysis / / / /  
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Conference Information
Committee CQ  
Conference Date 2018-01-20 - 2018-01-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Nishiwaseda Campus, Waseda Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The 5th Communication Quality Workshop 
Paper Information
Registration To CQ 
Conference Code 2018-01-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A P2PTV Traffic Classification Method Using Machine Learning 
Sub Title (in English)  
Keyword(1) P2P  
Keyword(2) P2PTV  
Keyword(3) Machine learning  
Keyword(4) Traffic analysis  
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1st Author's Name Koji Hayashi  
1st Author's Affiliation Shibaura Institute of Technology (Shibaura Inst. Tech.)
2nd Author's Name Takumi Miyoshi  
2nd Author's Affiliation Shibaura Institute of Technology (Shibaura Inst. Tech.)
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Date Time 2018-01-20 13:35:00 
Presentation Time 45 minutes 
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