From click to playback: A dataset to study the response time of mobile YouTube

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Abstract

Responding fluently to user requests is important to keep them immersed. In this paper, we are presenting an extensive dataset to study the response time of YouTube's mobile video streaming service on Android. We illustrate the application of our dataset by studying YouTube's initial delay for a subset of 9 videos in 75 network scenarios. We find that in 41 % of the cases, YouTube exceeds the attention span of a typical user, while deep immersion is only reached in 15 % of the cases. Our factor analysis implies that the allocation of the initial CDN node is the critical link in this delay chain. Since our dataset includes a large variety of factors, we are describing setup, methodology, and data structure in detail. Our dataset and measurement tools are publicly available at [8].

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APA

Loh, F., Wamser, F., Moldovan, C., Zeidler, B., Hoßfeld, T., Tsilimantos, D., & Valentin, S. (2019). From click to playback: A dataset to study the response time of mobile YouTube. In Proceedings of the 10th ACM Multimedia Systems Conference, MMSys 2019 (pp. 267–272). Association for Computing Machinery. https://doi.org/10.1145/3304109.3325819

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