Fang Wei
Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, 210044, Nanjing, China
Wen Xue Zhi
School of Computer and Software, Nanjing University of Information Science and Technology, 210044, Nanjing, China
Xu jiang
School of Computer and Software, Nanjing University of Information Science and Technology, 210044, Nanjing, China
ABSTRACT
In the atmospheric sciences, the scales of atmospheric data are massive and growing rapidly. For complex weather forecast, such as the typhoon track prediction requires the computing of very large of computers. In order to reduce the computing cost and protect meteorological resources, we use cloud computing technologies to design an elastic meteorological cloud platform (EMCP). It can share and manage meteorological resources flexibly and efficiently. The experimental results show the EMCP has better performance and efficiency.
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How to cite this article
Fang Wei, Wen Xue Zhi and Xu jiang, 2013. An Elastic Meteorological Cloud Platform Based on Xen. Information Technology Journal, 12: 3174-3178.
DOI: 10.3923/itj.2013.3174.3178
URL: https://scialert.net/abstract/?doi=itj.2013.3174.3178
DOI: 10.3923/itj.2013.3174.3178
URL: https://scialert.net/abstract/?doi=itj.2013.3174.3178
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