Dynamic adjustment method of cloud computing virtual cluster with multi-objective optimization

Dynamic adjustment method of cloud computing virtual cluster with multi-objective optimization

Zhang Hao Shiling Sun Meng Tangshao

The virtual cluster provided in the current cloud computing application can not be dynamically adjusted according to the actual network application load, which causes the resource utilization and load of the network virtual cluster to be not adapted, so that more computing resources are idle in the cluster, resulting in the waste of energy. In view of the above problems, a multi-objective optimization method of cloud computing virtual cluster Dynamic adjustment is proposed, and the dynamic adjustment framework of virtual cluster is given. The experimental results show that this method can automatically adjust the virtual cluster scale to meet the network application load, and can make full use of cloud computing resources and reduce the cloud computing energy consumption and other optimization goals.

Dynamic adjustment method of cloud computing virtual cluster with multi-objective optimization