Deploying RIPE Atlas probes in more locations and networks
Dear ambassadors, 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-n... Or you can see the raw-text table here, sorted by the network size: http://sg-pub.ripe.net/emile/atlas_eyeball_coverage.txt 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/publi... 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! Kind regards, Vesna on behalf of the Measurements Community Building team
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-n...
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.
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/publi...
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. Cheers,
Kind regards,
Vesna on behalf of the Measurements Community Building team
_______________________________________________ RIPE-Atlas-Ambassadors mailing list RIPE-Atlas-Ambassadors@ripe.net https://www.ripe.net/mailman/listinfo/ripe-atlas-ambassadors
-- Sebastian Castro Technical Research Manager NZRS Ltd. desk: +64 4 495 2337 mobile: +64 21 400535
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-n...
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/publi...
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
participants (3)
-
Emile Aben -
Sebastian Castro -
Vesna Manojlovic