Cloud Computing Algorithm based on Balanced Scheduling 

Haogui Chen 

College of Science, Hunan City University, Yiyang, Hunan, 413000, China

Abstract: The experimental results show that: the optimal algorithm combined withant colony and genetice-nables the storage, computation and operation of cloud resources to reach the optimal solution, meeting the user's need forusing cloud resources, and it further proves that the algorithm is convergent. 

Keywords: Multi-processor; Objective Function; Cloud Utility; Node