Stohr, Denny ; Frömmgen, Alexander ; Fornoff, Jan ; Zink, Michael ; Buchmann, Alejandro ; Effelsberg, Wolfgang (2016)
QoE Analysis of DASH Cross-Layer Dependencies by Extensive Network Emulation.
Internet-QoE (SIGCOMM). Florianopolis
Conference or Workshop Item, Bibliographie
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.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2016 |
| Creators: | Stohr, Denny ; Frömmgen, Alexander ; Fornoff, Jan ; Zink, Michael ; Buchmann, Alejandro ; Effelsberg, Wolfgang |
| Type of entry: | Bibliographie |
| Title: | QoE Analysis of DASH Cross-Layer Dependencies by Extensive Network Emulation |
| Language: | German |
| Date: | 2016 |
| Place of Publication: | Florianopolis |
| Publisher: | ACM |
| Event Title: | Internet-QoE (SIGCOMM) |
| Event Location: | Florianopolis |
| 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. |
| Divisions: | 18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering > Multimedia Communications DFG-Collaborative Research Centres (incl. Transregio) DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres Zentrale Einrichtungen DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > A: Construction Methodology DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > A: Construction Methodology > Subproject A2: Design DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > C: Communication Mechanisms DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > C: Communication Mechanisms > Subproject C3: Content-centred perspective 18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering 18 Department of Electrical Engineering and Information Technology |
| Date Deposited: | 29 Jun 2016 09:38 |
| Last Modified: | 11 Apr 2017 11:46 |
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