Options
QoE of YouTube Video Streaming for Current Internet Transport Protocols
Hoßfeld, Tobias; Schatz, Raimund; Krieger, Udo R. (2014): QoE of YouTube Video Streaming for Current Internet Transport Protocols, in: Kai Fischbach und Udo R. Krieger (Hrsg.), Measurement, Modeling and Evaluation of Computing Systems and Dependability and Fault Tolerance : 17th International GI/ITG Conference, MMB & DFT 2014, Bamberg, Germany, March 17-19, 2014, Proceedings, Cham: Springer International Publishing, S. 136–150, doi: 10.1007/978-3-319-05359-2_10.
Faculty/Chair:
Author:
Title of the compilation:
Measurement, Modeling and Evaluation of Computing Systems and Dependability and Fault Tolerance : 17th International GI/ITG Conference, MMB & DFT 2014, Bamberg, Germany, March 17-19, 2014, Proceedings
Editors:
Conference:
17th International GI/ITG Conference, MMB & DFT 2014, March 17-19, 2014 ; Bamberg, Germany
Publisher Information:
Year of publication:
2014
Pages:
ISBN:
978-3-319-05358-5
978-3-319-05359-2
Series ; Volume:
Lecture Notes in Computer Science ; 8376
Language:
English
Abstract:
Video streaming currently dominates global Internet traffic and will be of even increasing importance in the future. In this paper we assess the impact of the underlying transport protocol on the user perceived quality for video streaming using YouTube as example. In particular, we investigate whether UDP or TCP fits better for Video-on-Demand delivery from the end user’s perspective, when the video is transmitted over a bottleneck link. For UDP based streaming, the bottleneck link results in spatial and temporal video artifacts, decreasing the video quality. In contrast, in the case of TCP based streaming, the displayed content itself is not disturbed but playback suffers from stalling due to rebuffering. The results of subjective user studies for both scenarios are analyzed in order to assess the transport protocol influences on Quality of Experience of YouTube. To this end, application-level measurements are conducted for YouTube streaming over a network bottleneck in order to develop models for realistic stalling patterns. Furthermore, mapping functions are derived that accurately describe the relationship between network-level impairments and QoE for both protocols.
Keywords: ; ; ; ; ;
YouTube
Quality of Experience
Stalling
TCP
Loss
UDP
Peer Reviewed:
Yes:
International Distribution:
Yes:
Type:
Conferenceobject
Activation date:
October 21, 2024
Versioning
Question on publication
Permalink
https://fis.uni-bamberg.de/handle/uniba/103940