Nextgens and others have been warning for some time that churn may be one of the biggest challenges facing Freenet. How can we quantify this? Simulations might be able to tell us something about the impact of churn on swapping, data retention etc (when vive is done with the opennet/swapping project) ... but we'll need some idea of what churn actually looks like. Is it the case that 90% of our hits install Freenet, give it 5 minutes and then uninstall it? (join/leave churn, in the Pitch Black terminology). What about low-uptime nodes? How can we gather info on typical node uptimes? The reported uptimes on a node's opennet peers are probably a rather biased sample, for instance.
Any ideas? It's probably worth simulating to see what kinds of churn affect the network most badly, but we'll need to know what actually happens to see where our energy should be best directed in terms of countermeasures and tradeoffs. Thoughts??? -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: application/pgp-signature Size: 827 bytes Desc: not available URL: <https://emu.freenetproject.org/pipermail/devl/attachments/20080905/50326f95/attachment.pgp>
