{"title":"从全球视角看星际链路视频流的过去、现在和未来","authors":"Liz Izhikevich, Reese Enghardt, Te-Yuan Huang, Renata Teixeira","doi":"arxiv-2409.09846","DOIUrl":null,"url":null,"abstract":"This study presents the first global analysis of on-demand video streaming\nover Low Earth Orbit (LEO) satellite networks, using data from over one million\nhouseholds across 85 countries. We highlight Starlink's role as a major LEO\nprovider, enhancing connectivity in underserved regions. Our findings reveal\nthat while overall video quality on Starlink matches that of traditional\nnetworks, the inherent variability in LEO conditions -- such as throughput\nfluctuations and packet loss -- leads to an increase in bitrate switches and\nrebuffers. To further improve the quality of experience for the LEO community,\nwe manipulate existing congestion control and adaptive bitrate streaming\nalgorithms using simulation and real A/B tests deployed on over one million\nhouseholds. Our results underscore the need for video streaming and congestion\ncontrol algorithms to adapt to rapidly evolving network landscapes, ensuring\nhigh-quality service across diverse and dynamic network types.","PeriodicalId":501291,"journal":{"name":"arXiv - CS - Performance","volume":"211 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Global Perspective on the Past, Present, and Future of Video Streaming over Starlink\",\"authors\":\"Liz Izhikevich, Reese Enghardt, Te-Yuan Huang, Renata Teixeira\",\"doi\":\"arxiv-2409.09846\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study presents the first global analysis of on-demand video streaming\\nover Low Earth Orbit (LEO) satellite networks, using data from over one million\\nhouseholds across 85 countries. We highlight Starlink's role as a major LEO\\nprovider, enhancing connectivity in underserved regions. Our findings reveal\\nthat while overall video quality on Starlink matches that of traditional\\nnetworks, the inherent variability in LEO conditions -- such as throughput\\nfluctuations and packet loss -- leads to an increase in bitrate switches and\\nrebuffers. To further improve the quality of experience for the LEO community,\\nwe manipulate existing congestion control and adaptive bitrate streaming\\nalgorithms using simulation and real A/B tests deployed on over one million\\nhouseholds. Our results underscore the need for video streaming and congestion\\ncontrol algorithms to adapt to rapidly evolving network landscapes, ensuring\\nhigh-quality service across diverse and dynamic network types.\",\"PeriodicalId\":501291,\"journal\":{\"name\":\"arXiv - CS - Performance\",\"volume\":\"211 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Performance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.09846\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Performance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.09846","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.