Puffer
Puffer is a research project in the computer science department at Stanford University. Please find more details in the FAQ and our research paper (USENIX NSDI '20 Community Award, IRTF Applied …
Puffer - Stanford University
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Puffer - Stanford University
Puffer is a Stanford University research study about using machine learning to improve video-streaming algorithms: the kind of algorithms used by services such as YouTube, Netflix, and Twitch. We are …
Puffer - Stanford University
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Puffer - Stanford University
The plots show 95% confidence intervals. Confidence intervals are particularly important in Puffer: As discussed in the research paper, we find that the variable and heavy-tailed nature of video streaming …
Puffer - Stanford University
Selected date (UTC): 2026-03-14T11_2026-03-15T11 (share a permalink) Full results: Storage bucket Retrained model: 20260314-1.tar.gz video_sent measurement: video ...
Puffer receives six television channels using a VHF/UHF antenna and an ATSC demodulator, which outputs MPEG-2 transport streams in UDP. We wrote software to decode a stream to chunks of raw …
Puffer - Stanford University
Nov 12, 2020 · Puffer implements ABR on the server, so this pause was simulated to avoid introducing BOLA-specific logic in the server. Specifically, the authors suggested that if all objectives are …