Bitrate-based Video Traffic Classification
2023 PhotonIcs & Electromagnetics Research Symposium (PIERS 2023): Proceedings 2023
Tianhua Chen, Elans Grabs, Aleksandrs Ipatovs, Ernests Pētersons, Arnis Ancāns

Granular network traffic classification is gaining high priority, which is crucial for the Internet Service Providers (ISP), Over The Top (OTT) providers' operation and maintenance management and users' Quality of Experience (QoE) improvement. Streaming video category traffic takes up a significant proportion of Internet traffic. Its ground truth sources include the application types, streaming network communication protocols, resolution, refresh rates, video encoding protocols, physical network resource bandwidth, and associated with the video source. However, the credibility of the traffic classification work based on the ground truths above-mentioned is not high since the quality of the video source cannot be guaranteed. The user's perception is poor even when watching higher resolution and refresh rate in a particular scenario. Secondly, different video platforms use different technical standards, which will inevitably cause video quality compression loss in transmission and viewing. The user viewing experience varies greatly, even under the same standard. In this paper, we propose to implement the traffic classification task by calculating the video bitrates of Video on Demand (VoD) and Video Live Streaming (VLS) as accurate classification labels and using machine learning techniques, in which we will examine the real-time bitrates during real-world video transmission compared with the bitrates set by theoretical recommendations to find the differences between the two scenarios.

Atslēgas vārdi
Image coding; Image communication systems; Image compression; Internet service providers; Learning systems; Quality of service; Video streaming

Chen, T., Grabs, E., Ipatovs, A., Pētersons, E., Ancāns, A. Bitrate-based Video Traffic Classification. No: 2023 PhotonIcs & Electromagnetics Research Symposium (PIERS 2023): Proceedings, Čehija, Prague, 3.-6. jūlijs, 2023. Piscataway: IEEE, 2023, 509.-514.lpp. ISBN 979-8-3503-1285-0. e-ISBN 979-8-3503-1284-3. ISSN 2831-5790. e-ISSN 2831-5804. Pieejams: doi:10.1109/PIERS59004.2023.10221281

Publikācijas valoda
English (en)
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