I've been thinking more about this concern. What I really want to observe is - for any given request that I forward, _how_many_ rejections occur before my request is able to hop (accepted). If this number is averaging something over about 5, this could be SEVERELY damaging to our NGR "specialized" routing intentions ...
Toad responded:
I doubt it's less than that... I'll trace a few high HTL requests through my log files... I wonder if there is a stat... if there isn't there should be...
Toad- Thank you so much for implementing searchFailedCount! My numbers by hour (trimmed to reduce width) are this so far :
9:00:00 PM EST 0.95897 2.10480 0.0 17.0 390 10:00:00 PM EST 2.44145 4.04589 0.0 18.0 2041 11:00:00 PM EST 2.93011 3.45867 NaN NaN 1989 12:00:00 AM EST 3.23421 3.76093 0.0 19.0 2297 1:00:00 AM EST 4.21296 4.11976 NaN NaN 1681 2:00:00 AM EST 3.68234 3.65358 0.0 20.0 1807 3:00:00 AM EST 2.23778 3.04152 0.0 15.0 3049
What can I say ? Probably it's time for me to shut up about the impact of QR !! I mentioned a strange phenomenon in how my node (many nodes?) seems to "surge" it's rate of rejecting. What I have gleaned from looking at individual searchFailedCount events, then inboundQueryRejecteds, and finally outboundAggregateRequests is that my outbound requests are also fluctuating to a high degree (unsure how much this matters). They certainly are not smoothly distributed in time, but I'll have to monitor it some more.
Thank you again for adding this :)
I don't think the implications of the numbers above are serious - at least when using 50 peers. Fewer peers, greater impact. Does my (bad) theory about poor routing maybe suggest that maxRoutingSteps should not exceed a small fraction of rtMaxNodes ?
Looks like the only way for me to earn some developer points is to start writing some code :) I sure thought I had something here, but I guessed my extrapolated math wouldn't hold water.
-Ken
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