Allocation of computing resources is an important component of cloud computing technology, its efficiency directly affects the performance of the entire cloud computing environment. Currently, Domestic and foreign researchers study resource scheduling based on the ant colony algorithm(ACO) in cloud computing environment, which overcomes the shortcomings of huge size of the node and lower allocation of resources for a single node, ensuring user’s jobs can be completed on time. But it still exist that the algorithm is easy to fall into local optimal solution, making inefficient resource scheduling. For this problem, it will improve algorithm by combining ACO with particle swarm optimization algorithm(PSO) to improve the efficiency of resource scheduling in cloud computing environments.