Advanced search
1 file | 7.12 MB Add to list

Deadline-aware TCP congestion control for HTTP adaptive streaming services

Author
Organization
Abstract
Over the last decades, video streaming services have gained a lot of popularity, representing over 70% of the total consumer Internet traffic worldwide. While originally dedicated streaming protocols have been used to deliver these services, for several years, the video streaming industry is steadily shifting to HTTP adaptive streaming (HAS)-based delivery over TCP. With each video segment, implicit delivery deadlines are associated in order to avoid playout interruptions. However, TCP is known to be far from minimizing the number of deadline-missing streams. In this paper, 2 deadline-aware congestion control mechanisms are proposed, based on a parametrization of the traditional TCP New Reno congestion control strategy. By introducing deadline awareness at the transport layer, the modulation of the congestion window size is dynamically adapted to steer the aggressiveness of the considered stream to optimize the delivery of video streaming services. The proposed approaches are thoroughly evaluated in an HAS video-on-demand scenario over tree-based delivery networks. It was shown that in a realistic scenario, the proposed approaches can outperform traditional congestion control strategies by up to 12% in terms of estimated mean opinion score, mainly by reducing the average video freezing time by more than 85%.

Downloads

  • (...).pdf
    • full text (Published version)
    • |
    • UGent only
    • |
    • PDF
    • |
    • 7.12 MB

Citation

Please use this url to cite or link to this publication:

MLA
Claeys, Maxime, et al. “Deadline-Aware TCP Congestion Control for HTTP Adaptive Streaming Services.” INTERNATIONAL JOURNAL OF NETWORK MANAGEMENT, vol. 28, no. 4, 2018, doi:10.1002/nem.2023.
APA
Claeys, M., Bouten, N., De Vleeschauwer, D., De Schepper, K., Van Leekwijck, W., Latré, S., & De Turck, F. (2018). Deadline-aware TCP congestion control for HTTP adaptive streaming services. INTERNATIONAL JOURNAL OF NETWORK MANAGEMENT, 28(4). https://doi.org/10.1002/nem.2023
Chicago author-date
Claeys, Maxime, Niels Bouten, Danny De Vleeschauwer, Koen De Schepper, Werner Van Leekwijck, Steven Latré, and Filip De Turck. 2018. “Deadline-Aware TCP Congestion Control for HTTP Adaptive Streaming Services.” INTERNATIONAL JOURNAL OF NETWORK MANAGEMENT 28 (4). https://doi.org/10.1002/nem.2023.
Chicago author-date (all authors)
Claeys, Maxime, Niels Bouten, Danny De Vleeschauwer, Koen De Schepper, Werner Van Leekwijck, Steven Latré, and Filip De Turck. 2018. “Deadline-Aware TCP Congestion Control for HTTP Adaptive Streaming Services.” INTERNATIONAL JOURNAL OF NETWORK MANAGEMENT 28 (4). doi:10.1002/nem.2023.
Vancouver
1.
Claeys M, Bouten N, De Vleeschauwer D, De Schepper K, Van Leekwijck W, Latré S, et al. Deadline-aware TCP congestion control for HTTP adaptive streaming services. INTERNATIONAL JOURNAL OF NETWORK MANAGEMENT. 2018;28(4).
IEEE
[1]
M. Claeys et al., “Deadline-aware TCP congestion control for HTTP adaptive streaming services,” INTERNATIONAL JOURNAL OF NETWORK MANAGEMENT, vol. 28, no. 4, 2018.
@article{8714541,
  abstract     = {{Over the last decades, video streaming services have gained a lot of popularity, representing over 70% of the total consumer Internet traffic worldwide. While originally dedicated streaming protocols have been used to deliver these services, for several years, the video streaming industry is steadily shifting to HTTP adaptive streaming (HAS)-based delivery over TCP. With each video segment, implicit delivery deadlines are associated in order to avoid playout interruptions. However, TCP is known to be far from minimizing the number of deadline-missing streams. In this paper, 2 deadline-aware congestion control mechanisms are proposed, based on a parametrization of the traditional TCP New Reno congestion control strategy. By introducing deadline awareness at the transport layer, the modulation of the congestion window size is dynamically adapted to steer the aggressiveness of the considered stream to optimize the delivery of video streaming services. The proposed approaches are thoroughly evaluated in an HAS video-on-demand scenario over tree-based delivery networks. It was shown that in a realistic scenario, the proposed approaches can outperform traditional congestion control strategies by up to 12% in terms of estimated mean opinion score, mainly by reducing the average video freezing time by more than 85%.}},
  articleno    = {{e2023}},
  author       = {{Claeys, Maxime and Bouten, Niels and De Vleeschauwer, Danny and De Schepper, Koen and Van Leekwijck, Werner and Latré, Steven and De Turck, Filip}},
  issn         = {{1055-7148}},
  journal      = {{INTERNATIONAL JOURNAL OF NETWORK MANAGEMENT}},
  language     = {{eng}},
  number       = {{4}},
  pages        = {{18}},
  title        = {{Deadline-aware TCP congestion control for HTTP adaptive streaming services}},
  url          = {{http://dx.doi.org/10.1002/nem.2023}},
  volume       = {{28}},
  year         = {{2018}},
}

Altmetric
View in Altmetric
Web of Science
Times cited: