
The Debogonisation of 2a10::/12
We are getting ready to start allocating from 2a10::/12, a new block of IPv6 addresses. In this process we did a couple of 'pre-flight' checks to check the usability of address space in this /12 block.
Based in Amsterdam, NL
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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
We are getting ready to start allocating from 2a10::/12, a new block of IPv6 addresses. In this process we did a couple of 'pre-flight' checks to check the usability of address space in this /12 block.
This year's Internet Measurement Conference (IMC) was held in Amsterdam from 21-23 October. In this article we highlight some of the presented work that we think is interesting and that the RIPE community might find useful.
Is the current set of the RIPE Routing Information Service (RIS) peers providing a good level of diverse data? Let's look at some measurement results.
Will there be a 768k day similar to the 512k day we saw a few years ago? See here what we can see in the RIPE Routing Information Service (RIS).
We were asked by the community to look at the uptake of BGP Large Communities as observed by our Routing Information Service (RIS).
Humans are pretty good at finding patterns in network measurements, but it can be difficult to automate this so one can process many time series at the same time. Now we have an expert in the house who can help us with this.
In this article we look into the uptake of BGP Large Communities using the RIPE Routing Information Service (RIS).
We're looking at user-to-user connections, based on RIPE Atlas measurements and ISP's end-user market share estimates provided by the APNIC.
On the night of 9 April 2018, DE-CIX Frankfurt experienced an outage. As this is one of the largest Internet Exchange Points, this is an interesting case to study in more depth to see what we can learn about Internet robustness. We plan to update this article if new information/corrections flow in.
Last week I attended the Passive and Active Measurement (PAM) conference in Berlin. In this article I present some highlights and take-aways.
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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