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iGEMS: A Cloud Green Energy Management System in Data Center

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Green, Pervasive, and Cloud Computing

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9663))

Abstract

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.

This work is supported in part by the Ministry of Science and Technology, Taiwan, under grants number MOST 104-2221-E-029-010-MY3, MOST 104-2622-E-029-008-CC3, and MOST 103-2622-E-029-012-CC3.

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Acknowledgements

This work is supported in part by the Ministry of Science and Technology, Taiwan ROC, under grants number MOST 104-2221-E-029-010-MY3, MOST 104-2622-E-029-008-CC3, and MOST 103-2622-E-029-012-CC3.

Author information

Authors and Affiliations

  1. Department of Computer Science, Tunghai University, Taichung, 40704, Taiwan

    Chao-Tung Yang, Yin-Zhen Yan, Shuo-Tsung Chen & Ren-Hao Liu

  2. Computer Center, Tunghai University, Taichung, 40704, Taiwan

    Chao-Tung Yang, Jean-Huei Ou & Kun-Liang Chen

Authors
  1. Chao-Tung Yang
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  2. Yin-Zhen Yan
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  3. Shuo-Tsung Chen
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  4. Ren-Hao Liu
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  5. Jean-Huei Ou
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  6. Kun-Liang Chen
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Corresponding author

Correspondence to Chao-Tung Yang .

Editor information

Editors and Affiliations

  1. Fujian Normal University, Fuzhou, China

    Xinyi Huang

  2. Deakin University, Burwood, Australia

    Yang Xiang

  3. Providence University, Taichung, Taiwan

    Kuan-Ching Li

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© 2016 Springer International Publishing Switzerland

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Yang, CT., Yan, YZ., Chen, ST., Liu, RH., Ou, JH., Chen, KL. (2016). iGEMS: A Cloud Green Energy Management System in Data Center. In: Huang, X., Xiang, Y., Li, KC. (eds) Green, Pervasive, and Cloud Computing. Lecture Notes in Computer Science(), vol 9663. Springer, Cham. https://doi.org/10.1007/978-3-319-39077-2_6

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  • DOI: https://doi.org/10.1007/978-3-319-39077-2_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39076-5

  • Online ISBN: 978-3-319-39077-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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