Interesting Graph - IPv6 Performance
• 2 min read
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.
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
IPv6 RIPEness - the Sequel
• 4 min read
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.
Interesting Graph - IPv6 and RIPE 60
• 1 min read
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.
Interesting Graph - IPv6 RIPEness Movie
• 1 min read
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.
Interesting Graphs - Priming Queries to the Root Servers
• 4 min read
There was a slight increase in the number of sources that issue priming queries to DNS root servers seen on 18 March 2010, right after the introduction of a signed .arpa zone. See here an analysis and some graphs.
Interesting Graph - Decrease in 6to4?
• 1 min read
We have been measuring the number of clients connecting to www.ripe.net over IPv6 and made some interesting observations.
Slight Increase in DNS Resolvers Doing Priming Queries after .arpa Signing - Why?
• 4 min read
The roll-out of a signed root-zone at K-root on 24 March 2010 was uneventful. But we saw the number of resolvers doing priming queries increase slightly since 18 March 2010 and wanted to find out why.
Measuring IPv6 at Web Clients and Caching Resolvers (Part 3: Methodology)
• 8 min read
In Part 1 and Part 2 of this article we showed various statistics on IPv6 measurements of web clients and caching resolvers. In this part we explain how the measurements were done.
Measuring IPv6 at Web Clients and Caching Resolvers (Part 2: Country Level and other Statistics)
• 13 min read
In Part 1 of this article we showed some statistics on IPv6 at end-users and at caching DNS resolvers. In this part will dig deeper into the data we collected and show details on mobile device use of IPv6, country- and city-level IPv6 deployment numbers, and AS-level statistics.
Measuring IPv6 at Web Clients and Caching Resolvers (Part 1)
• 7 min read
It is important to keep an eye on how the IPv6 Internet develops. We wrote a script to measure the IPv4 capability, IPv6 capability and IPv4/IPv6 preference of end-users visiting our site. What is unique about this script is that it allows us also to measure the caching DNS resolver that the end-us…
This RIPE Labs article has good information on how to avoid effects from unknown attributes showing up at your BGP routers: https://labs.ripe.net/author/berislav_todorovic/bgp-path-attribute-filtering-a-powerful-tool-to-mitigate-alien-attributes/
“Hi Emile, I remember attribute 28 showing up in several previous studies. Interesting to see it causing a problem this time! As bgpdump maintainer, I'd ask you to check out v1.6.2 or higher, since 2020 there is a '-u' flag to output unknown attributes in the short (-m) mode (helpfully submitted by Italo Cunha) - it may make your future parsing life much easier :) Kind regards, Colin”
Thanks Colin, I didn't know, and this would have speeded up my analysis if I had!
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 :) )
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