Abstract: In order to improve the utilization ratio of cloud computing resources, combined with the characteristics of cloud computing resource optimization problem, we designed a glowworm algorithm for solving the optimization problem of cloud computing resources. Firstly, the constraint condition of cloud resource load scheduling was established, and the minimum user task execution time was used as the objective function of cloud computing resource load scheduling optimization. Secondly, glowworm algorithm was used to find the value of the objective function of the optimal resource scheduling strategy. The simulation experiment of cloud computing resource load scheduling was implemented on CloudSim platform. The experimental results show that the proposed algorithm reduces the computation time of cloud computing tasks, balances the load of cloud computing resources, makes the cloud computing resources allocate reasonably, and has obvious advantages over other algorithms.

Key words: resource scheduling strategy; glowworm algorithm, load balancing, cloud computing system, objective function