On Friday 05 September 2008 11:30, Michael Rogers wrote:
> Matthew Toseland wrote:
> > 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.
> 
> Would it be useful if we could distinguish between peers going offline
> and peers dropping the least-recently-used opennet connection - maybe
> add an extra field to FNPDisconnect (and assume the peer went offline if
> the connection just times out)? 

I think we do this already, don't we?

> What other factors do you think might 
> bias the sample?

Well for instance on a well established developer's node, the connections are 
likely to be "good" connections, which tend to be nodes with big stores, lots 
of bandwidth, and probably high uptimes (as that enables them to gather more 
data).
> 
> Cheers,
> Michael
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