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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