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Application of active queue management for real-time adaptive video streaming

Author

Listed:
  • Wladimir Gonçalves Morais

    (Federal University of Parana)

  • Carlos Eduardo Maffini Santos

    (Federal University of Parana)

  • Carlos Marcelo Pedroso

    (Federal University of Parana)

Abstract

Video streaming currently dominates global Internet traffic. Live streaming broadcasts events in real-time, with very different characteristics compared to video-on-demand (VoD), being more sensitive to variations in delay, jitter, and packet loss. The use of adaptive streaming techniques over HTTP is massively deployed on the Internet, adapting the video quality to instantaneous condition of the network. Dynamic Adaptive Streaming over HTTP (DASH) is the most popular adaptive streaming technology. In DASH, the client probes the network quality and adjusts the quality of requested video segment according to the bandwidth fluctuations. Therefore, DASH is an over-the-top application using unmanaged networks to distribute content in the best possible quality. In order to maintain a seamless playback, VoD applications commonly use a large reception buffer. However, in live streaming, the use of large buffers is not allowed because of the induced delay. Active Queue Management (AQM) arises as an alternative to control the congestion in router’s queue, pressing the traffic sources to reduce their transmission rate when it detects incipient congestion. In this article, we evaluate the performance of recent AQM strategies for real-time adaptive video streaming. Furthermore, we propose a new AQM algorithm to improve the user-perceived video quality. The results show that the proposed method achieves better performance than competing AQM algorithms and improves the video quality in terms of average peak signal-to-noise ratio while keeping the fairness among concurrent flows.

Suggested Citation

  • Wladimir Gonçalves Morais & Carlos Eduardo Maffini Santos & Carlos Marcelo Pedroso, 2022. "Application of active queue management for real-time adaptive video streaming," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 79(2), pages 261-270, February.
    • Handle: RePEc:spr:telsys:v:79:y:2022:i:2:d:10.1007_s11235-021-00848-0
    DOI: 10.1007/s11235-021-00848-0
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    References listed on IDEAS

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    1. Shalabh Bhatnagar & Sanjeev Patel & Karmeshu, 2018. "A stochastic approximation approach to active queue management," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 68(1), pages 89-104, May.
    2. Ghulam Abbas & Sanaullah Manzoor & Masroor Hussain, 2018. "A stateless fairness-driven active queue management scheme for efficient and fair bandwidth allocation in congested Internet routers," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 67(1), pages 3-20, January.
    3. Ghasem Kahe & Amir Hossein Jahangir, 2019. "A self-tuning controller for queuing delay regulation in TCP/AQM networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 71(2), pages 215-229, June.
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