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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
Amidst the recent political unrest in the Middle East, researchers have observed significant changes in Internet traffic and connectivity. In this article we tap into a previously unused source of data: unsolicited Internet traffic arriving from Libya. The traffic data we captured shows distinct c…
In a previous article we measured that a large percentage of 6to4 connections fail. In this article we show our attempts to find out why these connections fail.
This article is about the lottery of an iPad for people hosting RIPE Atlas probes. As an extra motivator for people to keep their probes up as much as possible, the lottery drawing is weighted based on probe-uptime.
At the recent RIPE 61 meeting in Rome and at earlier meetings, we heard that connectivity over 6to4 is not very dependable, which hampers IPv6 deployment. I wondered how bad it really is and started measuring it. This article describes what I measured and shows the results. Spoiler: It's pretty bad.
Following up from the IPv6 RIPEness graphs we published earlier, those Local Internet Registries (LIRs) that fulfill all 4 IPv6 RIPEness criteria are now listed on the RIPE NCC web site.
This infographic shows the percentage of networks (autonomous systems) that are IPv6 enabled from 2004 up until now. The interactive graph allows for comparison between IPv6 deployment in countries, and groups of countries.
This graph shows IPv6 performance as measured to www.ripe.net. These measurements show performance of native IPv6 on average being very close to IPv4.
As a follow-up to the article IPv6 RIPEness of LIRs, we did more analysis based on LIR signup year, size and the industry sector that the LIR operates in.
We measured the number of web clients connected to www.ripe.net during the RIPE 60 meeting in Prague. The results are shown in this graph.
After creating a rating system, in which RIPE NCC members can get up to four “stars” for IPv6 services, depending on certain criteria, we now looked at the increase of IPv6 RIPEness over time. See this illustrated in this movie.
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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