Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2018 International Workshop on Network Calculus and Applications (NetCal2018) |
| Subtitle of host publication | Co-located with the 30th International Teletraffic Congress, ITC 2018 and 1st International Conference in Networking Science and Practice |
| Editors | Eitan Altman, Giuseppe Bianchi, Thomas Zinner |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 19-24 |
| Number of pages | 6 |
| ISBN (print) | 978-0-9883045-5-0 |
| Publication status | Published - 2018 |
| Event | 2018 International Workshop on Network Calculus and Applications, NetCal2018 - Vienna, Austria Duration: 3 Sept 2018 → 7 Sept 2018 |
Abstract
A major challenge in mobile video streaming applications is the variability of the wireless channel. Techniques like Apple's HLS and MPEG-DASH typically offer the video in chunks where each chunk is made available with different levels of quality and bitrate. Adaptive clients use estimates of the past network conditions to select the source bitrate of the next chunk accordingly. Frequently, this selection is based on the average performance and does not consider the variability of the channel. In this work, we present a method for bitrate adaptation that uses the distribution of the past throughput to provide statistical performance guarantees obtained by the stochastic network calculus. We show how to select the bitrate so that a certain, small probability of buffer underflow is not exceeded. Theoretical results are derived for the general case of an arbitrary throughput distribution. Numerical results are included for the example of a Gaussian distribution. Additionally, we present simulation results that show the relevant performance metrics like average bitrate and buffer level of a system that adjusts its bitrate as suggested by our method. Generally, the method presented in this paper can achieve a bitrate that is close to the average available throughput with little variability of the source bitrate, while limiting the probability of buffer underflow to a predefined level.
Keywords
- buffer underflow, de jitter buffer, MPEG-DASH, network calculus, rate-adaptive streaming, stochastic guarantees
ASJC Scopus subject areas
- Mathematics(all)
- Statistics and Probability
- Computer Science(all)
- Computational Theory and Mathematics
- Computer Science(all)
- Computer Networks and Communications
- Mathematics(all)
- Applied Mathematics
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
Proceedings of the 2018 International Workshop on Network Calculus and Applications (NetCal2018): Co-located with the 30th International Teletraffic Congress, ITC 2018 and 1st International Conference in Networking Science and Practice. ed. / Eitan Altman; Giuseppe Bianchi; Thomas Zinner. Institute of Electrical and Electronics Engineers Inc., 2018. p. 19-24 8493029.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Stochastic Guarantees for Rate-Adaptive Streaming
AU - Akselrod, Mark
AU - Fidler, Markus
AU - Lübben, Ralf
N1 - Funding Information: * This work was supported by the Soongsil University Research Fund.
PY - 2018
Y1 - 2018
N2 - A major challenge in mobile video streaming applications is the variability of the wireless channel. Techniques like Apple's HLS and MPEG-DASH typically offer the video in chunks where each chunk is made available with different levels of quality and bitrate. Adaptive clients use estimates of the past network conditions to select the source bitrate of the next chunk accordingly. Frequently, this selection is based on the average performance and does not consider the variability of the channel. In this work, we present a method for bitrate adaptation that uses the distribution of the past throughput to provide statistical performance guarantees obtained by the stochastic network calculus. We show how to select the bitrate so that a certain, small probability of buffer underflow is not exceeded. Theoretical results are derived for the general case of an arbitrary throughput distribution. Numerical results are included for the example of a Gaussian distribution. Additionally, we present simulation results that show the relevant performance metrics like average bitrate and buffer level of a system that adjusts its bitrate as suggested by our method. Generally, the method presented in this paper can achieve a bitrate that is close to the average available throughput with little variability of the source bitrate, while limiting the probability of buffer underflow to a predefined level.
AB - A major challenge in mobile video streaming applications is the variability of the wireless channel. Techniques like Apple's HLS and MPEG-DASH typically offer the video in chunks where each chunk is made available with different levels of quality and bitrate. Adaptive clients use estimates of the past network conditions to select the source bitrate of the next chunk accordingly. Frequently, this selection is based on the average performance and does not consider the variability of the channel. In this work, we present a method for bitrate adaptation that uses the distribution of the past throughput to provide statistical performance guarantees obtained by the stochastic network calculus. We show how to select the bitrate so that a certain, small probability of buffer underflow is not exceeded. Theoretical results are derived for the general case of an arbitrary throughput distribution. Numerical results are included for the example of a Gaussian distribution. Additionally, we present simulation results that show the relevant performance metrics like average bitrate and buffer level of a system that adjusts its bitrate as suggested by our method. Generally, the method presented in this paper can achieve a bitrate that is close to the average available throughput with little variability of the source bitrate, while limiting the probability of buffer underflow to a predefined level.
KW - buffer underflow
KW - de jitter buffer
KW - MPEG-DASH
KW - network calculus
KW - rate-adaptive streaming
KW - stochastic guarantees
UR - http://www.scopus.com/inward/record.url?scp=85057194975&partnerID=8YFLogxK
U2 - 10.1109/itc30.2018.10056
DO - 10.1109/itc30.2018.10056
M3 - Conference contribution
AN - SCOPUS:85057194975
SN - 978-0-9883045-5-0
SP - 19
EP - 24
BT - Proceedings of the 2018 International Workshop on Network Calculus and Applications (NetCal2018)
A2 - Altman, Eitan
A2 - Bianchi, Giuseppe
A2 - Zinner, Thomas
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 International Workshop on Network Calculus and Applications, NetCal2018
Y2 - 3 September 2018 through 7 September 2018
ER -