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CGAN Based Cloud Computing Server Power Curve Generating

  • Longchuan Yan
  • Wantao Liu
  • Yin Liu
  • Songlin Hu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11337)

Abstract

For a better power management of data center, it is necessary to understand the power pattern and curve of various application servers before server placement and setup in data center. In this paper, a CGAN based method is proposed to generate power curve of servers for various applications in data center. Pearson Correlation is used to calculate the similarity between the generated data and the real data. From our experiment of data from real data center, the method can generate the power curve of servers with good similarity with real power data and can be used in server placement optimization and energy management.

Keywords

Generative Adversarial Nets Conditional Generative Adversarial Nets Cloud computing Power curve generating 

Notes

Acknowledgements

This work is supported by The National Key Research and Development Program of China (2017YFB1010001).

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Longchuan Yan
    • 1
    • 2
    • 3
  • Wantao Liu
    • 1
    • 3
  • Yin Liu
    • 4
  • Songlin Hu
    • 1
    • 3
  1. 1.Institute of Information EngineeringChinese Academy of SciencesBeijingChina
  2. 2.State Grid Information and Telecommunication BranchBeijingChina
  3. 3.School of Cyber Security, University of Chinese Academy of SciencesBeijingChina
  4. 4.Beijing Guoxin Hengda Smart City Technology Development Co., Ltd.BeijingChina

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