Hybrid equipartitioning job scheduling policies for parallel computer systems

We propose a new family of job scheduling policies for parallel computer systems that can be optimized to adapt to changes in the workload. Simulation optimization is used to reveal important properties of optimal job scheduling policies. For this optimization a new approach is suggested that combines two stochastic optimization methods: the nested partitions method and ordinal optimization.