Task scheduling algorithm based on improved genetic algorithm in cloud computing environment

Abstract

The number of users is huge in cloud computing,and the number of tasks and the amount of data are also huge.How to schedule tasks efficiently is an important issue to be resolved in cloud computing environment.A Double-Fitness Genetic Algorithm(DFGA) was brought up for the programming framework of cloud computing.Through this algorithm,the better task scheduling not only shortens total-task-completion time and also has shorter average-completion time.There is a contrast between DFGA and Adaptive Genetic Algorithm(AGA) through simulation experiment,and the result is:the DFGA is better,it is an efficient task scheduling algorithm in cloud computing environment.