An improved ant colony task scheduling algorithm (TCL-ACO) based on improved ant colony algorithm is presented

which combines the shortest completion time of task

cost and load balance.Firstly

the constraint function of task completion time and costs and the load balance function are defined according to the characteristics of task scheduling under cloud computing. At the same time

we improved the initial pheromone

heuristic function and pheromone update method of ant colony algorithm.Then

using the improved ant colony algorithm to solve the objective constraint function

the global optimal solution is obtained.Finally

the simulations are carried out under the cloudsim and compared with the Min-Min algorithm and the ACO algorithm. The experimental results show that the algorithm is superior to the two algorithms in terms of cost

task execution time and load balance.