TY  - JOUR
A1  - Loh, Frank
A1  - Wamser, Florian
A1  - Poignée, Fabian
A1  - Geißler, Stefan
A1  - Hoßfeld, Tobias
T1  - YouTube Dataset on Mobile Streaming for Internet Traffic Modeling and Streaming Analysis
JF  - Scientific Data
N2  - Around 4.9 billion Internet users worldwide watch billions of hours of online video every day. As a result, streaming is by far the predominant type of traffic in communication networks. According to Google statistics, three out of five video views come from mobile devices. Thus, in view of the continuous technological advances in end devices and increasing mobile use, datasets for mobile streaming are indispensable in research but only sparsely dealt with in literature so far. With this public dataset, we provide 1,081 hours of time-synchronous video measurements at network, transport, and application layer with the native YouTube streaming client on mobile devices. The dataset includes 80 network scenarios with 171 different individual bandwidth settings measured in 5,181 runs with limited bandwidth, 1,939 runs with emulated 3 G/4 G traces, and 4,022 runs with pre-defined bandwidth changes. This corresponds to 332 GB video payload. We present the most relevant quality indicators for scientific use, i.e., initial playback delay, streaming video quality, adaptive video quality changes, video rebuffering events, and streaming phases.
KW  - internet traffic
KW  - mobile streaming
KW  - YouTube
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-300240
VL  - 9
IS  - 1
ER  -