Re: [tcpPrague] [aqm] L4S status update

Jonathan Morton <chromatix99@gmail.com> Tue, 22 November 2016 20:37 UTC

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From: Jonathan Morton <chromatix99@gmail.com>
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Date: Tue, 22 Nov 2016 22:37:20 +0200
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References: <be67928d-e1f7-2495-147d-1d42d6783cc8@bobbriscoe.net> <f6b89407-14d8-b532-b793-7490cb5a2117@kit.edu> <f16c9830-f97a-64e0-76e6-66f146576616@bobbriscoe.net>
To: Bob Briscoe <ietf@bobbriscoe.net>
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Cc: TCP Prague List <tcpPrague@ietf.org>, tcpm IETF list <tcpm@ietf.org>, "Bless, Roland (TM)" <roland.bless@kit.edu>, AQM IETF list <aqm@ietf.org>, tsvwg IETF list <tsvwg@ietf.org>
Subject: Re: [tcpPrague] [aqm] L4S status update
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> On 22 Nov, 2016, at 21:09, Bob Briscoe <ietf@bobbriscoe.net> wrote:
> 
> {Note 1} I have never got a good answer to my questions on aqm@ietf as to why a sqrt that controls the shrinkage of the spacing between dropped packets has something to do with the steady state law of Reno, particularly because the law leads to linear growth in p over time.

If you have intervals between events which follow a 1/sqrt(N) sequence, where N is the number of preceding events, you get an event frequency which increases linearly with time.  This applies directly to Codel’s signalling strategy, which is to start at one mark per (assumed) RTT, and to increase the marking frequency if that was insufficient to control the queue.

When you have multiple Reno flows sharing a single queue, there is a sqrt(N) factor in several of the characteristics, where N is the number of flows.  When such a shared link becomes saturated, all of the flows must be signalled to slow down, but for stochastic reasons it’ll probably take more than N signalling events to do so.  Increasing the signalling frequency while the queue remains insufficiently controlled has a good chance of quickly finding all the flows, while dropping relatively few packets (of non-ECN flows).

I’m reasonably convinced that Codel is a near-optimal solution to congestion signalling on TCP-friendly flows.  Regrettably, the latter are not the only type of traffic actually found on the Internet.

Really, the central assumption of Codel is that each flow requires only one congestion signal event per RTT to cause it to back off.  Codel stops working well on traffic which doesn’t obey that assumption (a linear increase in drop frequency is inadequate to mitigate a flood - you need to work with drop probabilities for that), but it *does* work acceptably well with multiple flows sharing a queue, due to this operating-point search.

 - Jonathan Morton