The Optimization of Many Constraints Scheduling Algorithm Based on Cloud Mass Task

Put forward a new cloud platform massive task constraint of scheduling algorithm, will be completed task priority, resource service capacity, time and cost as constraint condition to establish more constrained scheduling model, through the utility function will cloud platform with massive task constraint scheduling model transformation efforts, and to all users to maximize the total utility as the target function.According to the principle of ant colony, is frequently scheduling in the cloud computing and data resources transmission link between the route as ants, introducing a pheromone task scheduling in the cloud platform, access to conform to the constraints of computing resources, to achieve the optimal scheduling objectives.The experimental results show that the proposed algorithm has not only high efficiency, and the load balance is strong, the overall cost is low.