Today's increase in computational resource demand requires robust job scheduling performance in shared HPC systems, which have varying workload characteristics. We applied a previous theoretical work on a walltime corrective scheduling to full-scale production-level HPC. The resulting performance was analyzed in comparison with an old cluster from which the theoretical work was modeled and with a simulation modeled after the current implementation. The results rendered us substantial insights in adjusting the scheduling policies accordingly for effective resource management that similar HPC clusters could benefit from.
