iGEMS: A Cloud Green Energy Management System in Data Center

Today the growing demand for reducing the power is not limited to household electricity saving. For businesses, it is the more important issue to effectively reduce the cost of electricity and the excess consumption under the huge electricity. In order to achieve energy saving and energy requires, the development of energy monitoring systems to obtain information related to consumption is necessary. Accordingly, this work proposes a cloud green energy management system. Because of the data size and the computational efficiency of data analysis, we add the big data technology and cloud computing to upgrade the system performance. By building cloud infrastructure and distributed storage cluster, we adopt the open source, Hadoop, to implement the two main functions: storage and computation. Based on these two functions, the proposed system speeds up the analysis and processing of big data by using Hadoop MapReduce to access HBase. The systemic risk is thus reduced too. Both real-time data and historical data are analyzed to obtain electricity consumption behavior for real-time warning and early warning. Moreover, carbon reduction and environmental protection are also considered in the analysis. Finally, a virtualized user-interface is designed to show the proposed system functions and analysis results. The experimental results indicate the performance of the proposed system.