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Metecloud: A Private Cloud Platform For Meteorological Data Storage Using Hadoop

Open Access
|Apr 2013

Abstract

With the increasing popularity of open-source platform Hadoop, the meteorological industry is available to create a Meteorological Cloud (MeteCloud) platform to store and deploy applications. In this paper, we propose an idea to build the MeteCloud platform for meteorological departments using Hadoop. We also present a backup policy for meteorological data. In addition, one kind of storage process of the meteorological A-format file is presented. Furthermore, we experiment with one-year historical data on the platform by varying many related parameters such as the number of nodes, meteorological records and fields. Finally, the proposed MeteCloud platform proves to be efficient and suitable for the storage of meteorological data.

Language: English
Page range: 648 - 663
Submitted on: Dec 26, 2012
Accepted on: Mar 19, 2013
Published on: Apr 10, 2013
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year

© 2013 Xue Shengjun, Xu Xiaolong, Wang Delong, Zhang Jie, Ji Feng, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.