Abstract: In order to improve the QoS of task scheduling of cloud computing,this paper proposed a cloud computing task scheduling model based on warm intelligent algorithm．Firstly,genetic algorithm which has global search ability is used to quickly find he optimal solutions of cloud computing task ssheduling problem,and then the optimal solutions are converted to the initial pheromone of ant colony optimization algorithm,finally,the global optimal solution of cloud computing task scheduling is obtained by information communication and feedback among ants．The simulated experiment was carried out on cloudsim platform.The experimental results show that compared with other models,the proposed model significantly improves the efficiency of cloud computing tasks scheduling and reduces the completion time.

Key words: Cloud computing,Genetic algorithm,Ant colony opt optimization algorithm,Task scheduling