[Int-area] Re: Enhancing traceroute with contextual per-hop analysis (Traceroute Aurix)

[CARLOS JESUS BERNARDOS CANO <[e-mail]>]

Dear Leonardo,

(with no hats on)

Thanks for your e-mail. I'd like to ask you which IETF standards are
involved/used by your tool and/or if the tool uses additional protocols
that you have an interest in bringing to the IETF.

Thanks!

Carlos

On Thu, Apr 23, 2026 at 12:13 AM Leonardo Melegassi <[e-mail]>
wrote:

>
>
> Hi all,
>
> My name is Leonardo Melegassi, a network and telecommunications engineer
> and the creator of the Catellix project.
>
> I have been working on a practical approach to extend traditional
> traceroute diagnostics, called "Traceroute Aurix", which is already
> implemented and running in real-world scenarios.
>
> While tools such as traceroute and MTR provide path discovery and
> continuous measurements, they can be limited in exposing contextual
> behavior of each hop and overall route quality in a structured way.
>
> Aurix focuses on building a more analytical and enriched view of the path
> by combining multiple dimensions of measurement and context.
>
> In practical tests, the system is able to:
>
> - Identify each hop with ASN and geolocation enrichment
> - Measure per-hop minimum, average, and maximum latency, as well as jitter
> - Evaluate the quality of each segment of the route
> - Aggregate end-to-end metrics such as average latency, peak latency, and
> an overall quality score
> - Detect route consistency based on response rate and packet loss behavior
>
> Additionally, the approach includes:
>
> - Route discovery
> - IP metadata enrichment
> - Correlation analysis across hops
>
> In one test case, traditional traceroute did not clearly expose route
> instability, while Aurix highlighted latency variation and per-hop
> consistency, making the issue more evident.
>
> The goal is to evolve network diagnostics from a purely descriptive output
> to a more analytical model that can support pattern identification,
> troubleshooting, and operational decision-making.
>
> I would appreciate feedback from the community, particularly regarding:
>
> - The relevance of this approach
> - Possible overlap with existing tools or ongoing work
> - Potential directions for experimentation or standardization
>
> I would be happy to share technical details, sample outputs, or further
> data if there is interest.
>
> Best regards,
> Leonardo Melegassi
> https://catellix.com
>
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