Comments (1)
Hi @chen116,
Thanks for the wonderful words. The calculation you are referring to comes from simulation. It works just like the completion time vs efficiency graph at different executor counts. Instead of simulating the complete application, here we simulate each spark job individually. To find the minimal number of executors required for a particular job, we do a binary search between 1 and total number of executors. This graph is basically trying to show if autoscaling would be useful and second to judge how a given autoscaling policy is doing compared to "ideal" autoscaling.
We will be talking more about it here: https://conferences.oreilly.com/strata/strata-eu/public/schedule/detail/74183
thanks!
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