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 , …

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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 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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Nov 12, 2020 · To measure video quality, Puffer uses the structural similarity metric SSIM, whereas BOLA and other ABR algorithms like BBA, MPC, and Pensieve are more commonly …

We report the design and findings of Puffer1, an ongoing research study that operates a video-streaming website open to the public. Over the past year, Puffer has streamed 38.6 years of …

Selected date (UTC): (share a permalink) Full results: Retrained model: video_sent measurement: ; video_acked measurement: ; client_buffer measurement: ; video_size ...