Resource Scheduling Algorithm of Cloud Computing for Energy Optimization Base on Virtual Machine Migration
Liang Hao, Gang Wei Cui, Ming Cheng Qu, Wen de Ke · Advanced materials research · 2014
As the growing demand for cloud computing, the scale of cloud data centers increased gradually, so that the energy issues of cloud environments have become increasingly prominent. For the situation of energy consumption serious in cloud computing data center, the resource scheduling algorithm of cloud computing for energy optimization was designed base on the technology of virtual machine migration. The energy consumption of cloud data center was saved effectively through effective use of resources, rational allocation of resources scheduling. Simulation results showed that compared to sequence execution algorithm, utilization of CPU, the average energy consumption, the average time was reduced by 16.63%, 27.26% and 23.72%, respectively.