Research on resource load forecasting method based on OpenStack

Research on resource load forecasting method based on OpenStack

Li Dancheng Wangxiao Song Ma Donglin Li Quanzuo

The energy consumption of data center increases with the rapid development of cloud computing, enhances the utilization of server resources, and then improves energy efficiency of data center becomes new research direction. Based on the OpenStack open source cloud computing platform, using the regression analysis method to predict the server load situation under the cloud computing environment, the resource dynamic scheduling algorithm is proposed, and the computing task is migrated to a more suitable server to improve the efficiency of the cluster calculation. The effectiveness of the algorithm is validated by the experiment of CPU computing ability, and the efficiency of CPU calculation in cloud computing environment is improved.

Research on resource load forecasting method based on OpenStack