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.
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This work is supported by The National Key Research and Development Program of China (2017YFB1010001).
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Yan, L., Liu, W., Liu, Y., Hu, S. (2018). CGAN Based Cloud Computing Server Power Curve Generating. In: Vaidya, J., Li, J. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2018. Lecture Notes in Computer Science(), vol 11337. Springer, Cham. https://doi.org/10.1007/978-3-030-05063-4_2
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DOI: https://doi.org/10.1007/978-3-030-05063-4_2
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