[ippm] QoO simulation results

[Bjørn Ivar Teigen <[e-mail]>]

Dear IETF IPPM Working Group,

I am writing to share our latest simulation study, "Evaluating Quality of
Outcome (QoO) in Challenging Network Conditions,
<https://assets.ycodeapp.com/assets/app24919/Documents/published/evaluating%20qoo%20in%20challenging%20network%20conditions-5gtulrheli.pdf>"
which provides new insights into the QoO metric as detailed in the QoO draft
<https://datatracker.ietf.org/doc/draft-ietf-ippm-qoo/>.

Our study rigorously tests the robustness of QoO in a variety of
challenging simulated network scenarios. We focused on QoO's sensitivity to
sampling frequency, measurement accuracy, application-specific
requirements, and sampling duration.

Key results from our research include:

   1. Demonstrating the performance of QoO in varying sampling scenarios,
   measuring sensitivity to sampling rate and measurement duration.
   2. Quantifying the influence of measurement accuracy on QoO scores.
   3. Clarifying the impact of network requirement specifications on QoO
   scores.

The complete simulation methods, detailed scenario results, and code for
reproducing our findings are accessible here: QoO Simulation Code
<https://github.com/domoslabs/qoosim>.

We look forward to your feedback and are eager to engage in further
discussions to refine and finalize the QoO metric.

Thank you for your attention and consideration of our work. I am
enthusiastic about the potential improvements our findings may contribute
to the IPPM community.

The full report of the study can be found here
<https://assets.ycodeapp.com/assets/app24919/Documents/published/evaluating%20qoo%20in%20challenging%20network%20conditions-5gtulrheli.pdf>.
Code here <https://github.com/domoslabs/qoosim>. A new version of the draft
<https://datatracker.ietf.org/doc/draft-ietf-ippm-qoo/> referencing these
results will be published soon.

Warm regards,
-- 
Bjørn Ivar Teigen, Ph.D.
Head of Research
[phone] | [e-mail] | www.domos.ai