Cloud computing task scheduling method based on ant lion optimization algorithm

The invention provides a cloud computing task scheduling method based on an ant lion optimization algorithm, which comprises the following steps: according to the task submitted by a user, determiningthe task parameter and the weight value of the fitness function; according to the task submitted by the user, determining the weight value of the fitness function. Initializing the Position of Ant and Ant Lion in Ant Lion Algorithm; Fitness is calculated by mapping relationship between task and virtual machine, fitness of each ant is calculated by using fitness function according to ant coordinates, ant lion position is updated, and elite ant lion is selected. Establishing fitness function; the roulette wheel method is used to select the new positions of the corresponding ant lions and ants.Updating the ant position and calculating the fitness function value of ant and ant lion again; Judging whether the number of iterations is greater than the maximum number of iterations, and if so, obtaining a final task alloc