Abstract:To solve the problem of task assignment time and load balancing in cloud computing, a task allocation strategy based on ant colony algorithm is proposed.The strategy comprehensively considers factors such as resource computing capability, execution time, real-time load and so on, and improves the heuristic information and the update of pheromone.Using the Cloudsim tool is used for simulation experiments, and the results show that this strategy not only reduces the execution time of task, but also improves the resource load unevenness effectively.The load balancing degree lies stably between 0.2 and 0.3, which enhances the utilization of resources, and realizes the reasonable scheduling of tasks in cloud computing.