A Job Scheduling Approach for Multi-core Clusters Based on Virtual Malleability

Many commercial job scheduling strategies in multi processing systems tend to minimize waiting times of short jobs. However, long jobs cannot be left aside as their impact on the performance of the system is also determinant. In this work we propose a job scheduling strategy that maximizes resources utilization and improves the overall performance by allowing jobs to adapt to variations in the load. The experimental evaluations include both simulations and executions of real workloads. The results show that our strategy provides significant improvements over the traditional EASY backfilling policy, especially in medium to high machine loads.