Job scheduling with adjusted runtime estimates on production supercomputers
We studied the inaccuracy of user runtime estimates in large amount of job traces. We proposed a set of runtime adjusting schemes to better the estimation accuracy. We refined our schemes to avoid impact of too much adjusting (underestimates). We used real job trace to evaluate our schemes and got positive results.
job scheduling runtime estimates walltime prediction