[Rpm] measurement lab research fellowship call 2022

[Dave Taht <dave.taht@gmail.com>]

One of the things that Matt Mathis pointed out in the associated
workshop (  https://www.youtube.com/watch?v=GW5C24YKAh8&t=850s ) is
how important new tools for measuring QoE "not cry wolf"; that they
point to the point of actual congestion and other problems.

Topics of interest include but are not limited to:

Relation between QoE and network metrics like bandwidth/latency/loss
Novel metrics that can be computed on existing NDT data
New measurements/experiments that could be deployed on M-Lab to
diagnose network bottlenecks
Characterizing paths measured by M-Lab clients; stability of paths,
relation to paths of interest (eg., paths to content) or network
characterization
Proposals for new experiments to be hosted on the M-Lab platform
Identification of biases in M-Lab data
Implementing ideas introduced during M-Lab’s Community Call on
Latency, Bufferbloat and Responsiveness and/or the IAB workshop on
Network Quality

For more details see:

see: https://www.measurementlab.net/blog/research-fellowship-call/

-- 
I tried to build a better future, a few times:
https://wayforward.archive.org/?site=https%3A%2F%2Fwww.icei.org

Dave Täht CEO, TekLibre, LLC