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Comparison and Test for Several Typical Cloud Computing Platforms

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Intelligent Data Analysis and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 370))

Abstract

Since cloud computing is proposed, increasing enterprises are investing and researching on it for the high scalability, powerful computing capability and inexpensiveness. Quite a number of cloud computing platforms were put forward. This paper analyzed several typical cloud platforms and compared the differences between these platforms. Finally, the paper deployed an experimental platform based on VMware cloud, and then test the computing performance of the platform with massive floating car data. The results show that the cloud computer platform can shorten the calculation time of mass data and improve performance significantly with high scalability.

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Acknowledgments

This work is supported financially by the university scientific research special of Fujian Province (No. JK2014033; No. 2013HZ0002-1; No. JA13223; No. GY-Z13006).

Author information

Authors and Affiliations

  1. The Key Laboratory for Automotive Electronics and Electric Drive of Fujian Province, Fujian University of Technology, Fuzhou, 350118, China

    Xiang Xu, Fumin Zou, Quan Zhu & Xianghai Ge

Authors
  1. Xiang Xu
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  2. Fumin Zou
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  3. Quan Zhu
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  4. Xianghai Ge
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Corresponding author

Correspondence to Xiang Xu .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA

    Ajith Abraham

  2. Fujian University of Technology, Fujian, China

    Xin Hua Jiang

  3. Department of Computer Science, VSB-Technical University of Ostrava, Ostrava-Poruba, Czech Republic

    Václav Snášel

  4. Fujian University of Technology, Fujian, China

    Jeng-Shyang Pan

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© 2015 Springer International Publishing Switzerland

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Xu, X., Zou, F., Zhu, Q., Ge, X. (2015). Comparison and Test for Several Typical Cloud Computing Platforms. In: Abraham, A., Jiang, X., Snášel, V., Pan, JS. (eds) Intelligent Data Analysis and Applications. Advances in Intelligent Systems and Computing, vol 370. Springer, Cham. https://doi.org/10.1007/978-3-319-21206-7_36

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  • DOI: https://doi.org/10.1007/978-3-319-21206-7_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21205-0

  • Online ISBN: 978-3-319-21206-7

  • eBook Packages: EngineeringEngineering (R0)

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