高校云数据中心基于蚁群算法的资源调度研究

摘要

针对构建高校云计算数据中心的目的出发，对基于蚁群算法的云计算资源调度进行研究。通过云仿真软件CloudSim进行仿真实验，证明蚁群算法在多任务执行时间及相对标准差方面优于传统资源调度算法。%For the purpose of constructing the cloud computing data center of colleges and universities,this article mainly focuses on cloud computing resource scheduling based on ant-colony algorithm. The proposed resource scheduling has been verified by CloudSim simulations. The simulation results reveal that both the multitask execution time and the relative standard deviation of our proposed resource scheduling based on ant-colony algorithm are to the traditional resource schedulings.