Optimal strategies for live video streaming in the low-latency regime

Liyang Sun, Tongyu Zong, Yong Liu, Yao Wang, Haihong Zhu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Low-latency is a critical user Quality-of-Experience (QoE) metric for live video streaming. It poses significant challenges for streaming over the Internet. In this paper, we explore the design space of low-latency live video streaming by developing dynamic models and optimal control strategies. We further develop practical live video streaming algorithms within the Model Predictive Control (MPC) framework, namely MPC-Live, to maximize user QoE by adapting the video bitrate while maintaining low end-to-end video latency in dynamic network environment. Through extensive experiments driven by real network traces, we demonstrate that our live video streaming algorithms can improve the performance dramatically within latency range of two to five seconds.

Original languageEnglish (US)
Title of host publication27th IEEE International Conference on Network Protocols, ICNP 2019
PublisherIEEE Computer Society
ISBN (Electronic)9781728127002
DOIs
StatePublished - Oct 2019
Event27th IEEE International Conference on Network Protocols, ICNP 2019 - Chicago, United States
Duration: Oct 7 2019Oct 10 2019

Publication series

NameProceedings - International Conference on Network Protocols, ICNP
Volume2019-October
ISSN (Print)1092-1648

Conference

Conference27th IEEE International Conference on Network Protocols, ICNP 2019
CountryUnited States
CityChicago
Period10/7/1910/10/19

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Keywords

  • Chunk-base encoding
  • Live streaming

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

Cite this

Sun, L., Zong, T., Liu, Y., Wang, Y., & Zhu, H. (2019). Optimal strategies for live video streaming in the low-latency regime. In 27th IEEE International Conference on Network Protocols, ICNP 2019 [8888127] (Proceedings - International Conference on Network Protocols, ICNP; Vol. 2019-October). IEEE Computer Society. https://doi.org/10.1109/ICNP.2019.8888127