Simulation-Based Performance Evaluation of an Energy-Aware Heuristic for the Scheduling of HPC Applications in Large-Scale Distributed Systems

As the distributed resources required for the processing of High Performance Computing (HPC) applications are becoming larger in scale and computational capacity, their energy consumption has become a major concern. Therefore, there is a growing focus from both the academia and the industry on the minimization of the carbon footprint of the computational resources, especially through the efficient scheduling of the workload. In this paper, a technique is proposed for the energy-aware scheduling of bag-of-tasks applications with time constraints in a large-scale heterogeneous distributed system. Its performance is evaluated by simulation and compared with a baseline algorithm. The simulation results show that the proposed heuristic not only reduces the energy consumption of the system, but also improves its performance.