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Research on the Relationship Between Volatility and Regional Economies of Scale in Cloud Computing

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e-Learning, e-Education, and Online Training (eLEOT 2021)

Abstract

There is a certain correlation between the regional education scale and the local economy, but the factors considered in the existing analysis of the relationship between regional education and economic fluctuations are not comprehensive. Moreover, the data used in the analysis process is relatively old and cannot reflect the current relationship between education and the economy. So this paper studies the simulation method of the coordination relationship between regional education scale fluctuation and economic fluctuation based on cloud computing. This study extracts the characteristics of regional education scale fluctuations and economic fluctuations in advance, and then uses cloud computing technology to establish a comprehensive analysis model, and uses the model to simulate the coordination between the two. Experimental test results: compared with the two traditional coordination relationship simulation methods, the simulation method of this study is not affected by the fluctuation of education scale and economic fluctuation. Considering the fluctuation coordination relationship from many aspects, the simulation results are more close to the expected value in the near future.

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Correspondence to Jun-hao Qiao .

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Qiao, Jh., Tang, X. (2021). Research on the Relationship Between Volatility and Regional Economies of Scale in Cloud Computing. In: Fu, W., Liu, S., Dai, J. (eds) e-Learning, e-Education, and Online Training. eLEOT 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 390. Springer, Cham. https://doi.org/10.1007/978-3-030-84386-1_45

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  • DOI: https://doi.org/10.1007/978-3-030-84386-1_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-84385-4

  • Online ISBN: 978-3-030-84386-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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