Thanks Nina and Andrew, I may have the capability to run a simulator large
scale on many nodes on AWS/GCE, but am looking to optimize the ROI by
selecting categories of experiments that benefit from a more controlled
environment, rather than be invalidated by its divergence/s from livenet.
But wondering if anyone else has already been doing this, would be nice to
collaborate.

Byron Gibson
CoS | http://mirrorx.com/
https://onename.io/bgibson
https://keybase.io/byrongibson


On Oct 6, 2015 14:00, "Andrew Miller" <amiller@cs.umd.edu> wrote:

> Shadow uses virtual time, entirely decoupled from real time. So while it
> may slow down your machine, this would not affect the stats collected
>
> (although it does make shadow somewhat unpleasant to run, unless you have
> a fast machine,  compared to abstract simulators that avoid running the
> actual Bitcoin code).
> Hi Byron,
>
> I've been using shadow a bit-- I think these simulators are important for
> testing, but Shadow, at least, certainly seems to have limitations, in some
> crucial respects.  Running shadow w Tor (which is only logical, because
> many BCT transactions transpire over Tor) is not as 'light' as presented
> and slows my own box down quite a bit, so the stats can't possibly be
> accurate... I don't know if this answers any questions or if you've had
> this experience at all -- perhaps it is negligible on a more powerful
> machine than my own-- or perhaps there is an adjustment still unaccounted?
>
> Regards,
> Nina K
>
> Sent from my iPhone
>
> On Oct 4, 2015, at 2:04 PM, Byron Gibson via bitcoin-dev <
> bitcoin-dev@lists.linuxfoundation.org> wrote:
>
> Hi all, is anyone using simulators like Shadow (https://shadow.github.io),
> BTCSim (https://github.com/btcsuite/btcsim), etc. to test proposed
> changes to Bitcoin?  I have a few questions about their capabilities and
> limitations.
>
> Byron Gibson
> http://mirror.co/
> https://keybase.io/byrongibson
>
>
>
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