Research on Distributed Storage and Query Optimization of Multi-source Heterogeneous Meteorological Data-Reference-Cited by-同舟云学术

Research on Distributed Storage and Query Optimization of Multi-source Heterogeneous Meteorological Data

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 International Conference on Cloud Computing and Internet of Things - CCIOT 2018
language:
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Author:

Hu Xiaodong¹,Xu Huanli¹,Jia Jinfang¹,Wang Xiaoying¹

Affiliation:

1. Department of Computer Technology and Applications, Qinghai University, Xining, CHN

Publisher

ACM Press

Reference13 articles.

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3. Xiong Anyuan, Zhao Fang, Wang Ying, et al. Design and implementation of the national integrated meteorological information sharing system [J]. Journal of Applied Meteorology, 2015 (4): 500--512.

4. Karun A K, Chitharanjan K. A review on hadoop-HDFS infrastructure extensions[C]//Information & Communication Technologies (ICT), 2013 IEEE Conference on. IEEE, 2013: 132--137.

5. Taylor R C.An overview of the Hadoop MapReduce HBase framework and its current applications in bioinformatics[J].Bmc Bioinformatics, 2010, 11(6):3395--3407.

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