Task Scheduling in Cloud Computing by Using Improved Ant Colony Algorithm

In order to find the optimal scheduling scheme for cloud computing tasks, and reduce completion time of tasks, a task scheduling model in cloud computing by using improved ant colony algorithm is proposed in this paper, Firstly, mathematical model of cloud computing task scheduling is established, and secondly ant colony algorithm is used to simulate the process of ants searching for food to obtain the solution which And the local and global information depth updating method is introduced to speed up search speed, finally, performance is tested on cloudsim simulation platform.Resultsshow that improved ant colony algorithm not only greatly reduces task execution time of cloud computing to solve the problem of unbalanced load of resources, and it is very good to achieve optimal scheduling of cloud computing tasks.