Cloud computing resource scheduling is a key and complex scheduling problem in cloud computing, and many factors need to be considered. In order to reduce the time of cloud computing, an Improved Particle Swarm Optimization (IPSO) algorithm is proposed. Based on the linear decreasing inertia weight, the chaotic constant disturbance is added to increase the inertia weight with little probability, so as to get rid of the local search and get the global search. Meanwhile, in order to solve the defect that the two algorithms fall into partial optimization easily, the proposed algorithm combines the optimization strategy of particle swarm optimization and ant colony optimization. The Matlab simulation and the testing of practical examples results show that the improved algorithm can get a more accurate solution under the same condition.