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- 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 Networking Research Prize '21 )
- Puffer - Stanford University
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- Puffer - Stanford University
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 each day
- 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
- Implementing BOLA-BASIC on Puffer: - Stanford University
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 implemented using bitrate (or a variant of bitrate)
- Puffer - Stanford University
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- Learning in situ: a randomized experiment in video streaming
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 video to 63,508 distinct users, while recording client telemetry for analysis (current load is about 60 stream-days of data per day) Puffer randomly assigns each
- Puffer - Stanford University
Selected date (UTC): (share a permalink) Full results: Retrained model: video_sent measurement: ; video_acked measurement: ; client_buffer measurement: ; video_size
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