Visualising IPv4 and IPv6 Tweets
This time we explored Twitter feed visualisation with CartoDB, a map visualisation tool.
Emile Aben
Based in Amsterdam, NL
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Based in Amsterdam, NL
I'm a system architect/research coordinator at the RIPE NCC, where I work in the science group. I'm a chemist by training, but have been working since 1998 on Internet related things, as a sysadmin, security consultant, web developer and researcher. I am interested in technology changes (like IPv6 deployment), Internet measurement, data analysis, data visualisation, sustainability and security. I'd like to bring research and operations closer together, ie. do research that is operationally relevant. When I'm not working I like to make music (electric guitar, bass and drums), do sports (swimming, (inline) skating, bouldering, soccer), and try to be a good parent.
Website: https://www.caida.org/~emile
Distribution of RIPE Atlas Probes
As the RIPE Atlas network continues to grow, it's useful for ambassadors and potential probes hosts to easily see where we already have probes deployed and where we'd like more probes installed. We created a few useful maps to help with this.
Propagation of Longer-than-/24 IPv4 Prefixes
Under ARIN's Number Resource Policy Manual (NRPM) Section 4.10, the IPv4 address block 23.128/10 is reserved for allocations and assignments dedicated to facilitate IPv6 deployment. The maximum allocation size is a /24; the minimum allocation size is a /28. There has been much discussion on the NAN…
Time Warner Cable Outage
The Time Warner Cable network suffered an outage on 27 August 2014 between approximately 9:40 and 10:55 UTC. We looked at some interesting details of this outage using RIS and RIPE Atlas.
512K-mageddon?
A week after the 512K-routes problem started making waves, we took a look at the global effects to see what impact it had. Spoiler: Not much.
Internet Traffic During the World Cup 2014
The World Cup is one of the most watched events on the planet, and we've been looking at traffic changes at Internet Exchange Points during the matches in Brazil at World Cup 2014. The final part of our analysis is now available, with a look at what happened during the final four matches of the tou…
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How RIPE Atlas Helped Wikipedia Users
Engineers from the Wikimedia Foundation and the RIPE NCC recently collaborated on a project to measure the latency of Wikimedia sites for users worldwide. Together, we identified ways to decrease latency and improve performance for users around the world.
A RIPE Atlas View of Internet Meddling in Turkey
In RIPE Atlas we see latencies to Google's 8.8.8.8 DNS resolver service drop in Turkey. We expect this is due to hijacking of the 8.8.8.8 service. Our measurements show a timeline of these events. Note that even when the Twitter ban had been lifted, RIPE Atlas still saw fake 8.8.8.8 DNS service…
Infrastructure Geolocation - Plan of Action
At RIPE 67 we presented our ideas on infrastructure geolocation. We received positive feedback for developing this idea. This article shows the current thinking on how to develop router geolocation further. Any feedback will be appreciated.
Typhoon Haiyan - What we see in RIPEstat and RIPE Atlas
As one of the strongest typhoons on record, Haiyan is feared to have a devastating effect on the Philippines. We looked for evidence of its effects on the country's core Internet infrastructure. At first glance, the typhoon's impact on core Internet infrastructure appears to be modest. This is in …
Code for looking into AS Adjacency changes is available here: https://github.com/emileaben/as-neighbour-diff
Code on how to create graphs like Figure 1 ( ie. BGP view of how networks in a country interconnect ) is available here: https://github.com/InternetHealthReport/country-as-hegemony-viz
NOG Alliance is helping out network operators in Ukraine: https://nogalliance.org/our-task-forces/keep-ukraine-connected/
An effort related to keeping Urkanian servers/websites online by the Dutch Cloud Community: https://dutchcloudcommunity.nl/community/cloud4ukraine/
We got a request for the HHI scores for other countries. I've put these in a small repo on github together with the code that generated this. repo: https://github.com/emileaben/hhi-eyeballs HHI scores for 2022-03-07 are available here: https://raw.githubusercontent.com/emileaben/hhi-eyeballs/main/eyeball-hhi.2022-03-07.csv
“This is awesome work, thank you! Do you maybe have the script/notebooks/sources to reproduce this? This could be potential used for other countries.”
Hi Jenneth, The observable notebook we used for this is here: https://observablehq.com/@aguformoso/internet-outages-as-seen-by-ripe-atlas . It's a little rough around the edges, so it would be great if you could help improve it!
Thanks for your comment Maxime. I would love to see more analysis too, and the tool allows people to do this. Take for instance this thread on Twitter where Jason Livingood analyses the signals for the US: https://twitter.com/jlivingood/status/1245142990336688130 If others have analysis for specific countries they want to share it would be great to have them collected, for instance as comments to this RIPE Labs post!
“One may assume that, if some people delayed the changes, other people rushed in to adapt the networks to the increased load? Both behaviour may explain why the change rate is more or less the same?”
I think it would be interesting to dig into this data deeper indeed. I looked at splitting this out per country a bit, but could try figure out if there are trends in the sets of ASNs in this timeseries. Would you be willing to look at this? My colleague Vesna is doing a virtual hackathon around Internet and Corona ( https://labs.ripe.net/Members/becha/hackathons-in-the-time-of-corona ), I'd love it if we could collaborate around this. Let me or Vesna know, or hop on to the conf calls, Mon 2pm UTC ( 3pm Paris timezone :) )
“Ghost routes: https://www.sixxs.net/tools/grh/what/”
I've added a reference to the different names 'stuck routes' and 'ghost routes' for this phenomenon at the beginning of the post. Thanks for the pointer!
“Interested in repeating this analysis for 2018 world cup?”
Hi Dan, we have no plans of repeating this analysis this time. This type of signal is still there, see for instance https://twitter.com/search?q=%40ohohlfeld%20%23worldcup&src=typd for a couple of graphs that show the impact in various places.
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