A performance estimation model for high-performance computing on clouds

In this research, we propose a performance estimation model based on the queuing theorem including execution time and network transmission delay. With the evaluation, the proposed delay model enables a cloud system to perform resource allocation for cloud applications with lower delay and the lowest cost. Both the numerical analyses and simulation results clearly show the enough evidences to validate the proposed model. The findings are also in favor of the applicability of the proposed model for HPC (High-Performance Computing) applications in a distributed computing environment such as cloud systems.