Energy Consumption Feature Selection of Data Center Server Based on Redundancy Analysis
Accurate server energy consumption model can predict data center energy consumption and provide important basis for resource scheduling method.Considering the problems of high dimension of server energy consumption characteristics and difficulty in judging redundant features,this paper analyzes the relationship between features and features and between features and target values of Pearson correlation coefficient,and gives the judgment criteria for server energy consumption redundant features.On this basis,a server energy consumption feature selection algorithm based on redundancy analysis is proposed Ex-perimental results show the effectiveness of the proposed energy consumption feature selection algorithm in server energy con-sumption model construction.
cloud data centerserverredundancy analysisfeature selectionenergy consumption prediction
万方数据
维普
