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

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

International Journal on Smart Sensing and Intelligent Systems
Volume 6 (2013): Issue 2 (January 2013)
By: Xue Shengjun,  Xu Xiaolong,  Wang Delong,  Zhang Jie and  Ji Feng  
Open Access
|Apr 2013

Authors

Xue Shengjun

xlxu1988@gmail.com

Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science & Technology Nanjing 210044, China

Xu Xiaolong

School of Computer and Software Nanjing University of Information Science & Technology, China

Wang Delong

School of Computer and Software Nanjing University of Information Science & Technology, China

Zhang Jie

School of Computer and Software Nanjing University of Information Science & Technology, China

Ji Feng

School of Computer and Software Nanjing University of Information Science & Technology, China
DOI: https://doi.org/10.21307/ijssis-2017-559 | Journal eISSN: 1178-5608
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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 issue per year
Keywords:
MeteCloud,
Hadoop,
Hive,
meteorological data,
transfer storage
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 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.

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