Github user nishkamravi2 commented on the pull request: https://github.com/apache/spark/pull/1391#issuecomment-49483642 6% was experimentally obtained (with the goal of keeping the bound as tight as possible without the containers crashing). Three workloads were experimented with: PageRank, WordCount and KMeans over moderate to large input datasets and configured such that the containers are optimally utilized (neither under-utilized nor over-subscribed). Based on my observations, less than 5% is a no-no. If someone would like to tune this parameter more and make a case for a higher value (keeping in mind that this is a default value that will not cover all workloads), that would be helpful.
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