A Global Perspective on the Past, Present, and Future of Video Streaming over Starlink

This study presents the first global analysis of on-demand video streaming over Low Earth Orbit (LEO) satellite networks, using data from over one million households across 85 countries. We highlight Starlink's role as a major LEO provider, enhancing connectivity in underserved regions. Our findings reveal that while overall video quality on Starlink matches that of traditional networks, the inherent variability in LEO conditions---such as throughput fluctuations and packet loss---leads to an increase in bitrate switches and rebuffers. To further improve the quality of experience for the LEO community, we manipulate existing congestion control and adaptive bitrate streaming algorithms using simulation and real A/B tests deployed on over one million households. Our results underscore the need for video streaming and congestion control algorithms to adapt to rapidly evolving network landscapes, ensuring high-quality service across diverse and dynamic network types.

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Publication Details

Journal
Proceedings of the ACM on Measurement and Analysis of Computing Systems
Published
2024-12-10
DOI
https://doi.org/10.1145/3700412
Citations
13
Primary Topic
Network Traffic and Congestion Control
Type
article
Field-Weighted Citation Impact
4.54
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article

A Global Perspective on the Past, Present, and Future of Video Streaming over Starlink

Theresa Enghardt, Te-Yuan Huang, Liz Izhikevich, Renata Teixeira
13 citations
Proceedings of the ACM on Measurement and Analysis of Computing Systems
Network Traffic and Congestion Control
4.54
article

A Global Perspective on the Past, Present, and Future of Video Streaming over Starlink

Theresa Enghardt, Te-Yuan Huang, Liz Izhikevich, Renata Teixeira
article en
13 citations

Abstract

This study presents the first global analysis of on-demand video streaming over Low Earth Orbit (LEO) satellite networks, using data from over one million households across 85 countries. We highlight Starlink's role as a major LEO provider, enhancing connectivity in underserved regions. Our findings reveal that while overall video quality on Starlink matches that of traditional networks, the inherent variability in LEO conditions---such as throughput fluctuations and packet loss---leads to an increase in bitrate switches and rebuffers. To further improve the quality of experience for the LEO community, we manipulate existing congestion control and adaptive bitrate streaming algorithms using simulation and real A/B tests deployed on over one million households. Our results underscore the need for video streaming and congestion control algorithms to adapt to rapidly evolving network landscapes, ensuring high-quality service across diverse and dynamic network types.

Proceedings of the ACM on Measurement and Analysis of Computing SystemsVol. 8(3)
University of California, Los Angeles (US), Netflix (United States) (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 5%
Network Traffic and Congestion Control
4.54
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