TY - JOUR
T1 - Architecture and technical exploration of big data platform for ecological environment.
AU - Zhao, Fen
AU - Zhang, Li Yun
AU - Zhao, Miao Miao
AU - Shao, Rui
AU - Liu, Li Xiang
AU - Zhao, Hai Feng
AU - Xu, Ming
N1 - Publisher Copyright:
© 2017, editorial Board of Chinese Journal of Ecology. All rights reserved.
PY - 2017
Y1 - 2017
N2 - The generation of big data technology provides a new way for processing massive data related to ecological environment, as well as monitoring and analyzing global ecological environ-mental problems. This paper first described the basic concepts of big data, and the concept and feature of ecological environmental big data. Then, considering the system structure of general big data, the architecture of big data platform for ecological environment was designed from four key aspects, including data platform, infrastructure platform, technology platform and application service platform. After the main frame is analyzed, key technologies for building technology plat-form of ecological environmental big data were elaborated in four parts: data acquisition, data storage and management, data computing pattern and data analysis. Finally, in view of future de-velopment and difficulties, we put forward some thinking and proposals.
AB - The generation of big data technology provides a new way for processing massive data related to ecological environment, as well as monitoring and analyzing global ecological environ-mental problems. This paper first described the basic concepts of big data, and the concept and feature of ecological environmental big data. Then, considering the system structure of general big data, the architecture of big data platform for ecological environment was designed from four key aspects, including data platform, infrastructure platform, technology platform and application service platform. After the main frame is analyzed, key technologies for building technology plat-form of ecological environmental big data were elaborated in four parts: data acquisition, data storage and management, data computing pattern and data analysis. Finally, in view of future de-velopment and difficulties, we put forward some thinking and proposals.
KW - Big data
KW - Ecological environment
KW - Platform architecture
KW - Technology
UR - http://www.scopus.com/inward/record.url?scp=85056729360&partnerID=8YFLogxK
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U2 - 10.13292/j.1000-4890.201703.013
DO - 10.13292/j.1000-4890.201703.013
M3 - Article
AN - SCOPUS:85056729360
SN - 1000-4890
VL - 36
SP - 824
EP - 832
JO - Chinese Journal of Ecology
JF - Chinese Journal of Ecology
IS - 3
ER -