--- Tracy R Reed <[EMAIL PROTECTED]> wrote: 
 
> It seems that the network is not learning who specializes in what areas of
> the keyspace from successful and failed requests. For a number of weeks
> now I have been running my node with a specially tuned datastore. I wrote
> a script to delete keys from the ds that are not in my randomly chosen
> area of specialization thus forcing a strong specialization. If the
> network is working properly other nodes will notice that I am unusually
> successful in fulfilling requests for a certain part of the keyspace and
> will route similar requests to me reinforcing this specialization. This is
> not happening. Here is a histogram of my datastore:

Cool, experiment Tracy!!!  Sure the DS doesn't determine most of specialization, but 
at least it
should have had some effect.

> I have been thinking about the possibility that the network is just too
> chaotic and unstable to ever converge but I have forced convergence on my
> node and other nodes still are not learning. To me this says bug.

If you wanted to force the system more.  Maybe you could delay queries outside of a 
particular
area of hashspace.  Of coarse that means going into the code.
 
> As we know, specialization is absolutely necessary for freenet to scale
> otherwise we are just a broadcast search network. It will also greatly
> increase the amount of data freenet can store if everyone specializes in a
> specific area and we do not need nearly as much redundancy. Right now with
> the totally random routing due to no specialization freenet can only store
> as much retrievable data as 25*n where n is the average size of the
> datastores on freenet and 25 is the current max htl. No bueno.

Actually it'll be something proportional to 25*25*n, since the search HTL counts too.  
Of coarse
that's all O(<average store size>), which blows.

Cool experiment, let's see what happens now that they've got that bug fixed.

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