ReBBR: reproducing BBR performance in lossy networks

It’s important that research be accessible and reproducible so that results and evaluations can be verified. As part of Stanford’s graduate course on computer networks, students have been reproducing parts of network systems research papers for several years on the public Reproducing Network Research blog.

In order to contribute to this effort, my partner Jervis and I have recently recreated Figure 8 of the original BBR paper, and exploring the effects of several experimental parameters. We’ve posted our comments on Stanford’s Blog, along with an accompanying GitHub repository that contains the code and instructions used to recreate our results.

We found that BBR does indeed achieve higher throughputs than CUBIC in lossy networks, and show that this behavior holds true across several orders of magnitude of bottleneck bandwidths, a variety of routh trip times, and also on an LTE cellular link trace. We also observe that BBR performs better than several other TCP congestion control variants like vegas, westwood, bic, and reno.

Follow the discussion on our BBR development thread!

Posts from blogs I follow

Performance Has Layers

Tuning network performance across the layers of a stack you build end to end

via Oxide Computer Company Blog June 18, 2026

ClickHouse

There’s a particular kind of pressure that comes with maintaining software at the very bottom of someone else’s stack. ClickHouse lives in exactly that spot: roughly 1.5 million lines of mostly C++ and tens of millions of tests every single day. So what ha…

via Corrode Rust Consulting June 18, 2026

I hate compilers

You'd think that given the same bytes of input you'd get the same bytes of output. lol. lmao. No, you don't. It's complicated.

via Xe Iaso's blog June 18, 2026

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