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Research on Meteorology Indices Forecasting Framework based on Hybrid Cloud Computing Platforms

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Ubiquitous Information Technologies and Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 214))

Abstract

With the development of cloud computing, the whole internet computing has entered an era of high-performance computing and application. Cloud computing makes it possible for resources to be transacted as goods, and for anyone at any time and any place to make use of the mighty power of cloud computing. As is known to all, the meteorological science involves large amount of data and high demand of calculation. In order to improve the accuracy and timeliness of meteorology indices forecasting computing in this paper, employing cloud computing technology in the high performance computing, a meteorological science data computing and process control framework based on hybrid clouds is put forward. And with the practical application, the usability, feasibility and expansibility of this framework has been proved. A large number of evaluation data has demonstrated that this framework can provide higher computational efficiency and prediction products with higher resolution time.

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Author information

Authors and Affiliations

  1. Meteorological Service Center of Hubei Province, Wuhan, People Republic of China

    Jia Fu, Lu Jing, Chen Zhenghong & Mingqiong He

  2. Chinese Meteorology Administration, Wuhan Research Institute of Rainstorm, Wuhan, People Republic of China

    Junchao Wang

Authors
  1. Jia Fu
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  2. Junchao Wang
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  3. Lu Jing
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  4. Chen Zhenghong
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  5. Mingqiong He
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Corresponding author

Correspondence to Mingqiong He .

Editor information

Editors and Affiliations

  1. and Education, Computer Science and Engineering, Korea University of Technology, Chungjeolno, Byeongchun 1600, CheonAn, 330-861, Korea, Republic of (South Korea)

    Youn-Hee Han

  2. , Division of Computer Science and Enginee, SoonChunHyang University, Sinchang, Chungnam, 336-745, Korea, Republic of (South Korea)

    Doo-Soon Park

  3. , Dept of Computer Science, City University of Hong Kong, Tat Chee Avenue, Kowloon, 83, Hong Kong SAR

    Weijia Jia

  4. , Division of Computer Engineering, Mokwon University, Do-An-Buk-Ro 88, Daejeon, 302-729, Korea, Republic of (South Korea)

    Sang-Soo Yeo

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© 2013 Springer Science+Business Media Dordrecht

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Fu, J., Wang, J., Jing, L., Zhenghong, C., He, M. (2013). Research on Meteorology Indices Forecasting Framework based on Hybrid Cloud Computing Platforms. In: Han, YH., Park, DS., Jia, W., Yeo, SS. (eds) Ubiquitous Information Technologies and Applications. Lecture Notes in Electrical Engineering, vol 214. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5857-5_78

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  • DOI: https://doi.org/10.1007/978-94-007-5857-5_78

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-5856-8

  • Online ISBN: 978-94-007-5857-5

  • eBook Packages: EngineeringEngineering (R0)

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