
Iran and K-root: The Rest of the Story
Dyn Research published an article on K-root recently. Here we would like to augment the picture with data from RIPE Atlas in order to provide a more complete picture of the effect of the K-root node in Iran.
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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
Dyn Research published an article on K-root recently. Here we would like to augment the picture with data from RIPE Atlas in order to provide a more complete picture of the effect of the K-root node in Iran.
This article describes our recent collaborations with France-IX on collecting data plane and control plane Internet data with RIPE Atlas and the RIPE NCC's Routing Information Service (RIS).
In October 2014 we started announcing a few longer-than-/24 prefixes and determined they were not very visible according to the Routing Information Service (RIS) and RIPE Atlas measurements. Now, almost a year later, we revisit this.
North Korea is one of the most secluded countries in the world, but it is nonetheless connected to the Internet. We investigate North Korea's Internet connectivity in light of recent outages and discuss the fragile nature of its setup.
In this article we compare RIPE Atlas deployment against user population estimates provided by APNIC to see which eyeball networks are missing out on RIPE Atlas probes.
We looked at Internet measurements for the South East Europe (SEE) region in order to share these with attendees at the SEE 4 Meeting that took place from 21-22 April 2015 in Belgrade, Serbia. This is the long version of the lightning talk Vesna Manojlovic gave at SEE 4.
We've been working with various Internet Exchange Points (IXPs) over the last few months to see how RIPE Atlas active measurements can provide insight into how they are keeping local traffic local. This could help improve performance and efficiency for IXPs and their members. To explore this, we've…
This article shows some prototypes of visualising network outages with RIPE Atlas using CartoDB.
While at this point it is still unclear what exactly happened at Facebook this morning (27 January), we collect data on the Internet control plane (BGP) and data plane that allows us to provide some insight into what happened with Facebook's connectivity to the rest of the Internet.
This time we explored Twitter feed visualisation with CartoDB, a map visualisation tool.
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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