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  1. Proceedings of the 2016 workshop on QoE-based Analysis and Management of Data Communication Networks (Internet-QoE '16)
  2. QoE Analysis of DASH Cross-Layer Dependencies by Extensive Network Emulation
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An Educated Guess on QoE in Operational Networks through Large-Scale Measurements
Impact of Access Speed on Adaptive Video Streaming Quality: A Passive Perspective
Predicting the effect of home Wi-Fi quality on Web QoE
QoE Inference Without Application Control
QoE Analysis of DASH Cross-Layer Dependencies by Extensive Network Emulation
Towards a causal analysis of Video QoE from Network and Application QoS
Measuring the Quality of Experience of Web users
BingeOn Under the Microscope: Understanding T-Mobiles Zero-Rating Implementation
Concept for Client-initiated Selection of Cloud Instances for Improving QoE of Distributed Cloud Services
Client-Driven Network-level QoE fairness for Encrypted 'DASH-S'

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QoE Analysis of DASH Cross-Layer Dependencies by Extensive Network Emulation

Content Provider ACM Digital Library
Author Effelsberg, Wolfgang Stohr, Denny Buchmann, Alejandro Frömmgen, Alexander Fornoff, Jan Zink, Michael
Abstract With the rising importance of video streaming in the Internet, dynamic adaptive streaming over HTTP (DASH) has been established as a key technology for video delivery. Yet, variable network conditions often result in a limited quality of experience (QoE)—with the interrelation of cross-layer network factors and DASH mechanisms widely unexplored. To understand the complex dependencies between DASH configurations and network conditions, we propose a systematic extensive large-scale emulation approach with state-of- the-art QoE metrics. Using this approach with a real DASH player in Mininet, we emulated more than 10, 000 combinations of static and dynamic network conditions and DASH configurations to derive their QoE. The obtained results show that no single DASH configuration provides the highest achievable QoE. Depending on the network conditions, specific combinations of the TCP congestion control, segment sizes and the DASH adaptation algorithm provide higher QoE—showing the possibility of performance improvements in practice. Furthermore, the ex- tensive emulations show a linear relation between delay, loss and QoE that is mostly independent of bandwidth.
Ending Page 30
Page Count 6
Starting Page 25
File Format PDF
ISBN 9781450344258
DOI 10.1145/2940136.2940141
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-08-22
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Network emulation Dash Cross-layer
Content Type Text
Resource Type Article
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