Abstract: Aiming at the defects of low resource utilization rate and serious waste of the resource scheduling algorithm in cloud computing system, in order to obtain a more ideal cloud computing resource scheduling scheme, we proposed an improved ant colony optimization algorithm for cloud computing resource scheduling. Firstly, the working principle of cloud computing resource scheduling was analyzed, and the objective function of cloud computing resource scheduling optimization was established. Secondly, ant colony optimization algorithm was used to simulate the ant colony to find a path from the starting point to the destination, which was the optimal solution of objective function for cloud computing resource scheduling, and ant colony algorithm was improved according to the objective function. Finally, the MATLAB2014R programming was used to optimize resource scheduling model of cloud computing. The experimental results show that the proposed model can find the optimal solution of cloud computing resource scheduling in a short time, which can improve  the resource utilization rate.

Key words: ant colony algorithm, resource scheduling scheme, objective function, cloud computing system, resource utilization rate