A load balancing strategy based on data correlation in cloud computing
Guilin Shao, Jiming Chen · 2016
According to the problems of the correlation of the data disposed by virtual machines and the reduce of resource utilization caused by migration of a single virtual machine in cloud computing, this paper proposes a load balancing strategy based on data correlation in cloud computing. This strategy finds out the migration unit based on the correlation between the data and the virtual machines used to deal with the same data, and construct the load-intensive data set to carry on the overall migration. The experimental results show that the load balancing strategy can reduce the communication overhead and improve the utilization of resources in a certain extent.