USING DATA MINING METHODS TO BUILD A GREEN DATA CENTER

摘要：

　　Nowadays on a global scale,data centers consume a large proportion of the electricity.It is estimated that the data center power consumption is about 26GW,accounting for 1.4 percent of the worlds total electricity consumption,equivalent to the electricity generated by 26 nuclear power plants.It is necessary for restriction on data center energy consumption.Data mining is to analyze the observed data set,its purpose is to find the unknown relationship between the owner and data,it can be understood and its valuable innovative ways to summarize data.In this paper,the data of energy use in a data center are analyzed by using data mining methods,these analysis can support for improving energy efficiency.

关键词： Green data center Data mining Cluster Classifier and predict

作者: Bin Wu Peng Wang Lei Zhang

作者单位: Beijing Key Lab of Intelligent Telecommunication Software and Multimedia,Beijing University of Posts and Telecommunications,Beijing 100876,China

会议类型: 国际会议

会议名称: 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems (2012年第2届IEEE云计算与智能系统国际会议(IEEE CCIS2012))

会议地点: 杭州

会议语种:英文

页码: 352-356

在线出版日期: 2012-10-30（万方平台首次上网日期，不代表论文的发表时间）