[RIPE Atlas Ambassadors] Deploying RIPE Atlas probes in more locations and networks

On 24/08/15 23:53, Sebastian Castro wrote:
> 
> 
> On 24/08/15 11:27 pm, Vesna Manojlovic wrote:
>> Dear ambassadors,
> 
> Hi Vesna:
> 
>>
>> You’ve helped us do a great job in distributing RIPE Atlas probes to
>> many networks and regions of the world, but we still have work to do!
>> There are a few ways to find out exactly where we need your help:
>>
>> 1) Networks with the most users and fewest probes
>>
>> In order to increase topological diversity, it would be good to "target"
>> the users of the networks that don’t have a lot - or any - coverage.
>>
>> This RIPE Labs article lists the top 20 ASNs:
>> https://labs.ripe.net/Members/emileaben/improving-ripe-atlas-coverage-what-networks-are-missing
>>
>>
>> Or you can see the raw-text table here, sorted by the network size:
>> http://sg-pub.ripe.net/emile/atlas_eyeball_coverage.txt
>>
> 
> Emile's work is really valuable and much appreciated. Is it possible to
> have a date of generation on that file? It seems to be the same as few
> months ago, considering we have deployed probes in the last two months
> that increase coverage.

This was a one-off, timestamp on the file says I did that on 26 June.
I've just put a new one here:
http://sg-pub.ripe.net/emile/atlas-coverage/

>> 2) Comparing population density with the distribution of RIPE Atlas probes
>>
>> Emile Aben used CartoDB to plot, population and probe density on the
>> same map:
>> https://emileaben.cartodb.com/viz/3caa5144-823e-11e4-8025-0e018d66dc29/public_map
>>
>>
>> https://labs.ripe.net/Members/emileaben/distribution-of-ripe-atlas-probes
>>
>> 3) Comparing coverage between countries
>>
>> This map shows the percentage of probes per country:
>> https://atlas.ripe.net/results/maps/density/
>>
>> Whichever method you choose, we trust your instincts and your knowledge
>> of the local community to make the right decision and give probes to the
>> best people!
> 
> We have a different method, that uses address space to determine which
> ASNs are relevant to cover.
> 
> The eyeball method works for ISP that serve customers, but not for those
> that provide transit. Our methodology, that picks a BGP table dump and
> calculates the ratio of /24 versus number of probes helps us to have
> more coverage and to quickly identify targets.

Heh. We had a discussion last week in the office which boiled down to
pretty much what you describe here, as an alternative to 'eyeball' data.
I expect more in this space soon :)

Cheers and many thanks to all our ambassadors for the great work they
are doing!
Emile