Puffer cordivari prezzi. tar. As our experiments are ongoing, new data is collected each day. 264 versions, using libx264 in veryfast mode. Please find more details in the FAQ and our research paper (USENIX NSDI '20 Community Award, IRTF Applied Networking Research Prize '21). edu and give notice as stated under Reporting of Alleged Copyright Infringement. 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. Puffer is a research project in the computer science department at Stanford University. Nov 12, 2020 ยท Performance of both versions of BOLA-BASIC on Puffer (95% confidence intervals), for all stream speeds (top plot) and slow streams only (bottom plot). gz video_sent measurement: video . stanford. I am currently located in the United States. The encodings range from 240p60 video with constant rate factor (CRF) of 26 (about 200 kbps) to 1080p60 video with CRF of 20 (about 5,500 kbps). Both plots show data from 2020-07-26 to 2020-11-07 (see the Experiment Results page for latest data). gz video_sent measurement: video Puffer is a research project in the computer science department at Stanford University. Selected date (UTC): 2025-10-31T11_2025-11-01T11 (share a permalink) Full results: Storage bucket Retrained model: 20251031-1. Along with our research paper, we are publishing anonymized data collected on Puffer for the research community to investigate. Log in If you believe your copyright has been violated on a Stanford site, please notify puffer-copyright-notices [at] cs. Puffer encodes each video chunk in ten different H. lvfl wqy vxckyw bcpow ctpi1 zwi rlsb8h 0sn qvp3ss 0oeks