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   Open Risk (openrisk@mastodon.social)'s status on Wednesday, 05-Mar-2025 20:07:53 JST Open Risk

   Is there a good reference of #activitypub scaling with more users/clients, servers, content exchange, network topology etc. What happens when everything and everywhere is connected?

   Looking for a more or less rigorous *model* to compare and contrast with e.g., how #atproto and #p2p protocols scale (at least in theory) and put some mathematical meat behind the recent "message passing" vs "shared heap" discussions.

   Have been looking for this with little success so time to #askfedi #askfediverse

   • Embed this notice
     silverpill (silverpill@mitra.social)'s status on Wednesday, 05-Mar-2025 20:07:53 JST silverpill

     in reply to

     @openrisk

     >What happens when everything and everywhere is connected?

     As if every user is followed by every other user?

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     silverpill (silverpill@mitra.social)'s status on Wednesday, 05-Mar-2025 21:15:46 JST silverpill

     in reply to

     @openrisk Simply adding more servers won't affect the network. What matters is how they are connected, and follows is a good way to think about that.
     For example, if account is followed by 1M accounts, then delivering a single post to personal inboxes would require 1M POST requests. With shared inboxes, the number would be equal to the number of servers where followers are located (likely much lower than 1M).

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     Open Risk (openrisk@mastodon.social)'s status on Wednesday, 05-Mar-2025 21:15:47 JST Open Risk

     in reply to

     • silverpill

     @silverpill Individuals have limited bandwidth so I don't see that happening, but bots acting on their behalf could get close to that.

     A more realistic working hypothesis for a "mass scaling" scenario would be if every existing web server (cities, universities, companies, whatever) is part of the server-to-server network. User "follows" would be a parameter to model.