Towards Interval-Valued Fuzzy Approach to Video Streaming Traffic Classification

被引：3
|
作者：
Monks, Eduardo Maronas [1 ]
Paz de Moura, Bruno Moura [1 ]
Schneider, Guilherme Bayer [1 ]
Santos, Helida Salles [2 ,3 ]
Yamin, Adenauer Correa [1 ]
Sander Reiser, Renata Hax [1 ]
机构：
[1] Fed Univ Pelotas UFPEL, Lab Ubiquitous & Parallel Syst LUPS, CDTEC, Pelotas, RS, Brazil
[2] Univ Fed Rio Grande FURG, Centro Ciencias Computacionais C3, Rio Grande, Brazil
[3] Univ Publ Navarra UPNA, Inst Smart Cities ISC, Pamplona, Spain
来源：
2022 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE) | 2022年
关键词：
Interval-Valued Fuzzy Logic; Classification; video streaming; TYPE-2; LOGIC; GENERATION; SETS;
D O I：
10.1109/FUZZ-IEEE55066.2022.9882788
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper contributes to classifying video streaming traffic by exploring concepts of Interval-Valued Fuzzy Logic. This approach extends related works by considering the uncertainties generated by variations in network conditions and the parameter imprecision affecting the behavior of network flow, which increases the complexity to reach high accuracy in identifying the network traffic. Some evaluations using the interval-valued logic approach for video streaming traffic classification are presented using application tools and datasets to validate the proposal.
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收藏
页数：8
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