I really love the work that stanford's CS244 does. I was reading this paper about netflix's "downward spiral" problem...
http://www.stanford.edu/~huangty/imc012-huang.pdf When greg white pointed me at this wonderful followup: http://reproducingnetworkresearch.wordpress.com/2013/03/13/cs244-13-rising- from-the-depths-observing-and-implementing-improvements-in-online-video-bit rate-selection/ "The students' goal was to reproduce the research done in the Huang paper. What they found was that in the interim Netflix had fixed the problems outlined by Huang, so they reverse engineered the original Netflix rate adaptation algorithm, and then evaluated several new rate adaptation approaches. Cool stuff." Also the discussion of "remy" going on is pretty nifty. https://plus.google.com/u/0/103530621949492999968/posts/2L9e4kxo9y3 _______________________________________________ Bloat mailing list [email protected] https://lists.bufferbloat.net/listinfo/bloat
