[ndnSIM] Self-learning strategy not working properly

Andrew S forelf1 at gmail.com
Tue Sep 1 21:21:53 PDT 2020


After all my attempts it still fails like shown before.
The main problem is that it cannot correctly send data back - in most cases
data is sent back only when it hits cache (and for a single hop, as things
repeat on the next one).

If anyone had any experience with Self-Learning strategy, please, let me
know.

ср, 26 авг. 2020 г. в 20:00, Andrew S <forelf1 at gmail.com>:

> Hello,
> I'm currently working on implementing custom forwarding strategy and would
> like to compare it to the existing ones.
>
> I could not find any examples of Self Learning strategy, thus I just
> modified the ndn-grid scenario to use self-learning strategy instead of
> best-route one. I as well removed the GlobalRoutingHelper (as far as I
> understand Self strategy does not need it).
> The outcome of the simulation is not what I expected:
>
> Time Node AppId SeqNo Type DelayS DelayUS RetxCount HopCount
> 4.11533 0 0 1 LastDelay 0.115328 115328 1 4
> 4.11533 0 0 1 FullDelay 3.11533 3.11533e+06 2 4
> 7.0865 0 0 0 LastDelay 0.086496 86496 1 4
> 7.0865 0 0 0 FullDelay 7.0865 7.0865e+06 3 4
> 12.1153 0 0 2 LastDelay 0.115328 115328 1 4
> 12.1153 0 0 2 FullDelay 9.11533 9.11533e+06 2 4
>
> So just three satisfied interests over 20 seconds with CBR of 1 interest
> per second.
>
> This is the default latest ndnSIM with no modifications except for the
> ones I described above.
>
> Could somebody clarify to me if this is the expected way of how
> self-learning strategy works? Or am I missing something?
>
> Thanks in advance for any help!
>
> --
> Andrew S.
>


-- 
Andrew S.
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