Looking forward to reading Emile’s paper, but in the meantime: Nick Kernan, a graduate student of mine, wrote a python script for selecting a geographically diverse set of probes from a list of probes.  The script implements a simple greedy algorithm, which we came up with after playing with several alternatives, and which we found to work very well in practice.  Nick’s script also adds an option to add ASN diversity by specifying a limit to be attempted on the number of probes selected from the same ASN during the greedy selection.   See  https://github.com/nicholaskernan/probe-filters.  Feel free to use (attribution would be appreciated). And the RIPE folks, if you find this generally useful, feel free to incorporate it into the API.

—Misha
 

On Jun 27, 2022, at 4:02 PM, Randy Bush <randy@psg.com> wrote:

IMHO it’s most likely credit farming.

which is amusing, as a note on this list or nanog asking for credits
usually requires a pickup truck.

Emile Aben, I would be happy to see code for detecting overly similar
probes. It would save a lot of time spend on data filtering.

   "Metis: Better Atlas Vantage Point Selection for Everyone"

   Malte Appel (Internet Initiative Japan), Emile Aben (RIPE NCC), and
   Romain Fontugne (Internet Initiative Japan)

at TMA thursday

randy

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