From mboxrd@z Thu Jan 1 00:00:00 1970 Received: from mga14.intel.com (mga14.intel.com [192.55.52.115]) (using TLSv1.2 with cipher ECDHE-RSA-AES256-GCM-SHA384 (256/256 bits)) (No client certificate requested) by smtp.subspace.kernel.org (Postfix) with ESMTPS id BE78268 for ; Wed, 3 Nov 2021 01:11:36 +0000 (UTC) X-IronPort-AV: E=McAfee;i="6200,9189,10156"; a="231661176" X-IronPort-AV: E=Sophos;i="5.87,203,1631602800"; d="csv'?gz'50?png'50,150?scan'50,150,208,50,150";a="231661176" Received: from orsmga008.jf.intel.com ([10.7.209.65]) by fmsmga103.fm.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 02 Nov 2021 18:07:46 -0700 X-IronPort-AV: E=Sophos;i="5.87,203,1631602800"; d="csv'?gz'50?png'50,150?scan'50,150,208,50,150";a="500835385" Received: from rchriste-mobl1.amr.corp.intel.com ([10.209.43.75]) by orsmga008-auth.jf.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 02 Nov 2021 18:07:46 -0700 Date: Tue, 2 Nov 2021 18:07:46 -0700 (PDT) From: Mat Martineau To: Paolo Abeni cc: mptcp@lists.linux.dev Subject: Re: [PATCH v2 mptcp-next] mptcp: enforce HoL-blocking estimation In-Reply-To: <8a4189c20285e73f1b4f51d4e442477003f40d1f.camel@redhat.com> Message-ID: References: <8a4189c20285e73f1b4f51d4e442477003f40d1f.camel@redhat.com> Precedence: bulk X-Mailing-List: mptcp@lists.linux.dev List-Id: List-Subscribe: List-Unsubscribe: MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="0-111544994-1635901666=:63379" This message is in MIME format. The first part should be readable text, while the remaining parts are likely unreadable without MIME-aware tools. --0-111544994-1635901666=:63379 Content-Type: text/plain; charset=US-ASCII; format=flowed On Tue, 2 Nov 2021, Paolo Abeni wrote: > Hello, > > On Tue, 2021-10-26 at 11:42 +0200, Paolo Abeni wrote: >> The MPTCP packet scheduler has sub-optimal behavior with asymmetric >> subflows: if the faster subflow-level cwin is closed, the packet >> scheduler can enqueue "too much" data on a slower subflow. >> >> When all the data on the faster subflow is acked, if the mptcp-level >> cwin is closed, and link utilization becomes suboptimal. >> >> The solution is implementing blest-like[1] HoL-blocking estimation, >> transmitting only on the subflow with the shorter estimated time to >> flush the queued memory. If such subflows cwin is closed, we wait >> even if other subflows are available. >> >> This is quite simpler than the original blest implementation, as we >> leverage the pacing rate provided by the TCP socket. To get a more >> accurate estimation for the subflow linger-time, we maintain a >> per-subflow weighted average of such info. >> >> Additionally drop magic numbers usage in favor of newly defined >> macros and use more meaningful names for status variable. >> >> [1] http://dl.ifip.org/db/conf/networking/networking2016/1570234725.pdf >> >> Signed-off-by: Paolo Abeni >> --- >> v1 -> v2: >> - fix checkpatch issue (mat) >> - rename ratio as linger_time (mat) > > As this patch empirically improves the situation quite a bit, what > about applying it on the export branch, and staging it for a bit? > > If we find issues or improvements we can revert/drop/update. Otherwise > we can keep it. Meanwhile it will get a better testing... > > WDYT? Hi Paolo - I finally (sorry about the delay) did capture some data to see what was going on with the pacing rate. I added a pr_debug() in mptcp_subflow_get_send() to dump the following: timestamp socket ptr sk_pacing_rate sk_pacing_shift mss_cache snd_cwnd packets_out srtt_us I chose those values based on what is used to calculate sk_pacing_rate - I should have also included snd_wnd and sk_wmem_queued, since those are used in the weighted average in this patch. But I ran out of time to update everything today and still get this reply written. The debug output didn't appear to interfere much with the simult_flows.sh tests, they still completed in the normal time (except for one that ran just a little long). I observed some patterns with the output I captured during a simult_flows.sh run: 1. When snd_cwnd and srtt_us were small (when data had not been sent yet or there was a time gap), sk_pacing_rate had very large spikes. Often 10x higher or more. 2. When packets were streaming out, sk_pacing_rate was quite consistent Some sockets just had a large initial value, then settled in to a stable range. An example is the attached normal-stable.png graph (socket ecab33d5 in the attached data). Here's the beginning of that "normal" case: socket,timestamp,pacing_rate,pacing_shift,mss_cache,snd_cwnd,packets_out,srtt_us 00000000ecab33d5 1115.798277 73877551 10 1448 10 0 3136 00000000ecab33d5 1115.859702 5711316 10 1448 21 17 51112 00000000ecab33d5 1115.8793 2691321 10 1448 22 18 113631 00000000ecab33d5 1115.888531 2428742 10 1448 22 22 125916 00000000ecab33d5 1115.905641 2048124 10 1448 23 22 156103 00000000ecab33d5 1115.952846 1687326 10 1448 25 14 205959 00000000ecab33d5 1115.972365 1731531 10 1448 26 26 208729 The average pacing rate settles in after the first few points. But when snd_cwnd and srtt_us are small, the pacing rate was not reliable. Other sockets, which seemed to encounter gaps where packets were not sent, had spikes in sk_pacing_rate each time sending resumed. pacing_spikes.png shows this. An excerpt of that (socket 59324953): socket,timestamp,pacing_rate,pacing_shift,mss_cache,snd_cwnd,packets_out,srtt_us 0000000059324953 1099.545071 1535124 10 1448 333 333 3015368 0000000059324953 1100.638369 28960000 10 1448 10 0 8000 0000000059324953 1108.17501 101614035 10 1448 10 0 2280 0000000059324953 1123.068772 212941176 10 1448 10 0 1088 0000000059324953 1123.277791 218360037 10 1448 10 7 1061 0000000059324953 1123.325756 5016147 10 1448 19 0 52653 0000000059324953 1123.406518 9498001 10 1448 20 1 29271 0000000059324953 1123.440064 4935750 10 1448 20 1 56327 Here, the pacing rate had settled to around 1.5 million, then suddenly jumped to ~29 million and ~218 million. Two orders of magnitude is a pretty huge change! If I had sampled sk_wmem_queued, I'm guessing that would show a small (or zero) value which would minimize the impact of these spikes on the weighted average. If this data is representative of typical behavior of sk_pacing_rate (and simult_flows.sh is representative enough of real-world behavior!), this does definitely confirm that the way the existing upstream code uses sk_pacing_rate is likely making some very sub-optimal choices when there are outliers in sk_pacing_rate. I think this also shows that we need to be careful about how these spikes affect a weighted average, because one sk_pacing_rate spike could end up influencing the scheduler for an even longer time depending on how it gets weighted. Before we merge a change here, we should develop a clear understanding of what the data going in to the scheduling decision looks like, and make sure that outliers in that input data are handled appropriately in a variety of scenarios. -- Mat Martineau Intel --0-111544994-1635901666=:63379 Content-Type: application/x-gzip; name=simult.csv.gz Content-Transfer-Encoding: BASE64 Content-ID: <82ed1995-5fa1-bfaf-6e17-977057b95d5a@linux.intel.com> Content-Description: Content-Disposition: attachment; filename=simult.csv.gz H4sICLLcgWEAA3NpbXVsdC5jc3YAnL3pzm3JjR34v5/C0O+Li5iHpylIqaq2 0fAAqwy/fq/FIPdhnG8zS7bqRClTmbzcMXEKkuvf/8t//dd//Ptf/+v/+PWf /vHf//j//vXff/2n//HXP/7Lf/t//+V//vXf//X5m3/85//yb/hH//Uf//iX P/76x3/GP/jHf/v7v/zxv//b3+VfAd0//uW//y/8G//4n//+7//yv/7x/+S0 y++1S2n511+S/qflv6/5r2n95dfuZdTc56+cfuXWFv87/Sqtloeyp/Gh7LuW tnv9y688RqtjrnyT5rqFtP4G+Uz1lelYYJmLp8Sv1F2NtJfaX7n21cC0f9Pm NpRtTrnX9qEdf6171kratNYseaWvyeaylDSXsteHdP5tt7+tv/7tL7/K2oP/ 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