Quota-constrained Job Submission Behavior at Commercial Supercomputer.

Understanding user behavior is great helpful for assessing HPC system job scheduling, promoting allocation efficiency and improving user satisfaction. Current research on user behavior is mainly focused on think time (i.e. time between two consecutive jobs) of non-commercial supercomputer systems. In this paper, we present a methodology to characterize workloads of the commercial supercomputer. We use it to analyze the 2.7 million jobs of different users in various fields of Tianhe-1A from 2016.01 to 2017.12 and 0.89 million jobs of Sugon 5000A from 2015.09 to 2017.03.