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, …

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 …

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If you believe your copyright has been violated on a Stanford site, please notify puffer-copyright-notices [at] cs.stanford.edu and give notice as stated under Reporting of Alleged Copyright …

Along with our research paper, we are publishing anonymized data collected on Puffer for the research community to investigate. As our experiments are ongoing, new data is collected …

Puffer encodes each video chunk in ten different H.264 versions, using libx264 in veryfast mode. The encodings range from 240p60 video with constant rate factor (CRF) of 26 (about 200 …

Selected date (UTC): 2025-10-19T11_2025-10-20T11 (share a permalink) Full results: Storage bucket Retrained model: 20251019-1.tar.gz video_sent measurement: video ...

Nov 12, 2020 · Performance of both versions of BOLA-BASIC on Puffer (95% confidence intervals), for all stream speeds (top plot) and slow streams only (bottom plot). Both plots show …