From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: from mail-ie0-x22f.google.com (mail-ie0-x22f.google.com [IPv6:2607:f8b0:4001:c03::22f]) (using TLSv1 with cipher RC4-SHA (128/128 bits)) (Client CN "smtp.gmail.com", Issuer "Google Internet Authority" (verified OK)) by huchra.bufferbloat.net (Postfix) with ESMTPS id BFB8B21F112 for ; Mon, 22 Jul 2013 14:01:24 -0700 (PDT) Received: by mail-ie0-f175.google.com with SMTP id a11so15989034iee.6 for ; Mon, 22 Jul 2013 14:01:23 -0700 (PDT) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:date:message-id:subject:from:to:content-type; bh=cCoe0Pu1J414cJEw+i/lJ1xq51eQH+S2u3jk5O8K0ik=; b=v7mzokjpNkqkkPOMWn8AkTlXBDWNFelA3ZwOreaztc/IVjCv/9G+CTF1yKiteIjU2B eQLewaXcu2TCkld4aNq8kgOLc+w46mXNWJH3Vbh5FO/MY9t/4jHqE1vw6EI2xTxixaQ+ ZqWM3u96u1q/8GLJIcmHrB/lqnktBuXp1ew0a1HHkt0N9k1SxADknfqzCJZHfJdUhn9C NYBfdjEvuppKotrusRikx98JD4mYwR4dDLsNw7FZOFx/FMeUfoMDcuilBhOpVgJeWqO7 +/VHr87wIdyxgDfjmRreo5vW6LMkR9tC/mU8hCBzQkbiohTlGmO58xW1cTRZBPsbAaJ+ lR4Q== MIME-Version: 1.0 X-Received: by 10.43.133.70 with SMTP id hx6mr11855128icc.34.1374526883457; Mon, 22 Jul 2013 14:01:23 -0700 (PDT) Received: by 10.64.98.162 with HTTP; Mon, 22 Jul 2013 14:01:23 -0700 (PDT) Date: Mon, 22 Jul 2013 14:01:23 -0700 Message-ID: From: Dave Taht To: bloat , aqm@ietf.org Content-Type: text/plain; charset=ISO-8859-1 Subject: [Bloat] CS244's work on netflix streaming X-BeenThere: bloat@lists.bufferbloat.net X-Mailman-Version: 2.1.13 Precedence: list List-Id: General list for discussing Bufferbloat List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Mon, 22 Jul 2013 21:01:25 -0000 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