[Bloat] pacing, applied differently than bbr

[Taran Lynn]

As promised, here's the updated arXiv paper on applying model predictive
control to TCP CC [1]. It contains more in depth information about the
implementation, as well as some data from physical experiments.

[1] https://arxiv.org/abs/2002.09825

On 2/9/20 8:39 AM, Taran Lynn wrote:
> Here's a paper and slides on work that has built on this research
> [1][2]. They were presented at the 2019 Buffer Workshop. A paper should
> also be posted on arXiv soon that has more details of the actual
> algorithm, which has been slightly updated since the workshop. Currently
> we're trying to improve the algorithm's performance and fairness. So far
> we've seen pretty good reductions in RTT (hopefully you'll see more
> papers in the future). We're also learning some things from BBR and the
> challenges it faced.
> 
> P.S. If you're wondering why the math looks significantly different than
> in the original paper, it's because a lot of progress has already been
> made :).
> 
> [1] http://buffer-workshop.stanford.edu/papers/paper14.pdf
> [2] http://buffer-workshop.stanford.edu/slides/mpc.pdf
> 
> On 2/8/20 11:11 PM, Dave Taht wrote:
>> I don't know how I stumbled across this, but it seemed interesting at
>> this late hour. I wonder if they kept at it or tried ecn also.
>>
>> "A Model Predictive Control Approach to Flow Pacing for TCP"
>>
>> "we propose a different approach to latency based congestion control.
>> In particular, our controller sets the maximum pacing rate by solving
>> a model-based receding horizon control problem at each time step. Each
>> new roundtrip time (RTT) measurement is first incorporated into a
>> linear time-varying (LTV) predictive model. Subsequently, we solve a
>> one-step look-ahead optimization problem which finds the pacing rate
>> which optimally trades off RTT, RTT variance, and throughput according
>> to the most recent model. Our method is computationally inexpensive
>> making it readily implementable on current systems."
>>
>> https://people.eecs.berkeley.edu/~dfk/pdfs/network_control_camera_ready.pdf
>>
>>