An efficient storage and service method for multi-source merging meteorological big data in cloud environment

An efficient storage and service method for multi-source merging meteorological big data in cloud environment

Abstract With the development of the meteorological IoT (Internet of Things) and meteorological sensing network, the collected multi-source meteorological data have the characteristics of large amount of information, multidimensional and high accuracy. Cloud computing technology has been applied to...

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Bibliographic Details
Main Authors: Ming Yang, Wenchun He, Zhiqiang Zhang, Yongjun Xu, Heping Yang, Yufeng Chen, Xiaolong Xu
Format: Article
Language:English
Published: SpringerOpen 2019-10-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Multi-source merging sensors data
Meteorological data storage
Meteorological data service
Distributed NoSQL
Semi/unstructured data
Online Access:http://link.springer.com/article/10.1186/s13638-019-1576-0

Internet

http://link.springer.com/article/10.1186/s13638-019-1576-0

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