Resource Scheduling of High-Performance Computing Clusters based on the Combination of Ant Colony Algorithm and Active Caching Strategy

In recent years, the HPC cluster has developed rapidly and has become an important tool to solve large-scale and complex computing problems. However, in a cluster environment, how to efficiently schedule HPC cluster resources has become a problem worthy of attention. Based on this, this paper proposes a scheduling strategy that integrates the ant colony algorithm and active cache to minimize resource scheduling time and maximize resource utilization. Simulation results show that compared with the ant colony algorithm, the new strategy proposed in this paper can improve the efficiency of resource scheduling, significantly reduce the scheduling time, greatly improve the resource utilization rate, and significantly reduce the job loss rate.