Abstract: Aiming at the multi-objective task scheduling problem in cloud computing, A multi-objective task scheduling model based on chaotic cat optimization algorithm (CCSO) is proposed.The scheduling algorithm used in the model processes the experimental data by searching and tracking two modes and Logistic chaotic map, and then obtaining the optimal task scheduling solution set.On the CloudSim simulation platform, making the simulation results compared with genetic algorithm(GA) and particle swarm optimization algorithm(PSO). The results show that the chaotic cat group algorithm not only shortens the time of task execution but also makes the system load more balanced, so that the multi-objective task scheduling in cloud computing can be completed more efficiently.