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Run the fuzzing run on a sufficiently long running market (at least 24h null-chain time and a good number orders / second on average) under two identical scenarios except:
The aim would be to run this, settle the markets, make sure that data node is caught up and then compare the size of the Postgres database in each case.
Run a separate experiment where you vary the mark price frequency:
mark price update frequency 2s, 10s, 30s, 60s.
The text was updated successfully, but these errors were encountered:
We should use the same price sequence (same random seed when generating) in both cases.
davidsiska-vega
changed the title
Use fuzzing run setup to investigate data-node database size with different margin settings
Use fuzzing run setup to investigate data-node database size with different margin settings and separated different mark price frequency
Mar 21, 2023
Run the fuzzing run on a sufficiently long running market (at least 24h null-chain time and a good number orders / second on average) under two identical scenarios except:
(search, initial, release) = (1.050, 1.100, 1.150)
(search, initial, release) = (1.001, 2.000, 4.000)
.The aim would be to run this, settle the markets, make sure that data node is caught up and then compare the size of the Postgres database in each case.
Run a separate experiment where you vary the mark price frequency:
The text was updated successfully, but these errors were encountered: