Task Scheduling Strategy for Cloud Computing Based on the Improvement of Ant Colony Algorithm

In order to solve the problem of task scheduling under cloud conditions, a virtual machine real-time state improvement ant colony algorithm (VM-ACO) is proposed. The algorithm takes time into account to complete the load balance of the task. Experiments on the cloudSim platform show that the VM-ACO algorithm performs better in task latency, time to fulfill the task and load balance than the ant colony algorithm based on resource state and polling, and it can realize the excellent scheduling under cloud conditions.