Video QoE Killer and Performance Statistics in WebRTC-based Video Communication
2016 (English)Conference paper (Refereed)
In this paper, we investigate session-related performance statistics of a Web-based Real-Time Communication (WebRTC) application called appear. in. We explore the characteristics of these statistics and explore how they may relate to users' Quality of Experience (QoE). More concretely, we have run a series of tests involving two parties and according to different test scenarios, and collected real-time session statistics by means of Google Chrome's WebRTC-internals tool. Despite the fact that the Chrome statistics have a number of limitations, our observations indicate that they are useful for QoE research when these limitations are known and carefully handled when performing post-processing analysis. The results from our initial tests show that a combination of performance indicators measured at the sender's and receiver's end may help to identify severe video freezes (being an important QoE killer) in the context of WebRTC-based video communication. In this paper the performance indicators used are significant drops in data rate, non-zero packet loss ratios, non-zero PLI values, and non-zero bucket delay.
Place, publisher, year, edition, pages
IEEE, 2016. 429-436 p.
IdentifiersURN: urn:nbn:se:bth-13680ISI: 000389228000071ISBN: 978-1-5090-1801-7OAI: oai:DiVA.org:bth-13680DiVA: diva2:1060806
IEEE 6th International Conference on Communications and Electronics (IEEE ICCE), JUL 27-29, 2016, Ha Long, VIETNAM