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Located in London, I measured the RTT or round trip time to 574,691 random webservers and plotted the times on the globe.

Discovery was done with masscan, measurements using hping and plotting with an old Python script I've revived and enhanced.

This is part of the next writeup on my blog, with which I will be posting any of the code I've used.

Blog / How I made a blog using Lemmy

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[-] kernelle@0d.gs 10 points 3 days ago

Great idea! I'll be writing some code later to calculate distances first.

[-] adeoxymus@lemmy.world 5 points 3 days ago* (last edited 3 days ago)

Cool I’m super interested in the result. I’m marking the post!

Edit: I also love the visualizations, didn’t make that clear in first reply 🫣

[-] kernelle@0d.gs 6 points 3 days ago

Hard to get the scaling right but I messed around a bit, here's RTT / (2 * Distance / c )

Scaling on Europe is fun too

[-] NoSpotOfGround@lemmy.world 3 points 2 days ago

So this looks like the closer the server, the less efficient (more convoluted) the path to it is. Very cool.

[-] kernelle@0d.gs 2 points 2 days ago

I'm thinking its harder to get sub 15ms consistently maybe? Brussels, Amsterdam, Paris, expected lightspeed times of 1-2ms, in reality you'll get 10-20ms.

Global internet is optimized for global connectivity, I'm imagining resources are better spent optimizing the 50-200ms range than the 1-10ms.

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this post was submitted on 19 May 2025
214 points (100.0% liked)

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