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Learning in situ: a randomized experiment in video streaming
[article]
2019
arXiv
pre-print
We describe the results of a randomized controlled trial of video-streaming algorithms for bitrate selection and network prediction. Over the last eight months, we have streamed 14.2 years of video to 56,000 users across the Internet. Sessions are randomized in blinded fashion among algorithms, and client telemetry is recorded for analysis. We found that in this real-world setting, it is difficult for sophisticated or machine-learned control schemes to outperform a "simple" scheme (buffer-based
arXiv:1906.01113v2
fatcat:f24lc547fzhe3mvvetrtcijb4q