TY - GEN
T1 - Research and Design on Key Technologies of Spatial-Temporal Cloud Platform Construction
AU - Zhang, Bin
AU - Yu, Riji
AU - Fei, Dingzhou
AU - Huang, Baichuan
AU - Song, Yao
AU - Peng, Ling
AU - Zeng, Yuhuai
N1 - This work is supported by The Ministry of Science and Technology of National Key Development Program(PN:2016YFB1101702), Research Center for Culture-Technology Integration Innovation, Key Research Base of Humanities and Social Science of Hubei Province(PN:WK201704) and National Mapping and Geographic Information Bureau Engineering Technology Research Center (PN:SIDT20170101); Yuhuai ZENG, Riji YU and Ling PENG is the correspondent authors;
Publisher Copyright:
© 2019 IEEE.
PY - 2019/12/15
Y1 - 2019/12/15
N2 - Up till the present moment, the construction of cloud platform at home and abroad still needs to be improved. To a certain extent, it restricts the development of spatial-temporal application. We integrate internet of things sensing technology, cloud-computing technology, data mining technology, dual-frequency precision positioning technology, big data analysis technology and broadband network technology. Compiling with simple programming mode, data storage and management, virtualization technology and other key technologies. Through software and hardware for experimental configuration, deployment of cloud nodes, the establishment of mathematical models. Designed a unified spatial-temporal information cloud platform with universality, completeness and easy realization. In order to realize the architecture design and development of the cloud platform. This study give a cloud platform structure design to provide support for national planning. It provides new clues for the theoretical development and application of the spatial-temporal cloud platform construction of the strategic new districts such as the Great Bay Area, China Xiong'an New District and Wuhan Yangtze River New Town.
AB - Up till the present moment, the construction of cloud platform at home and abroad still needs to be improved. To a certain extent, it restricts the development of spatial-temporal application. We integrate internet of things sensing technology, cloud-computing technology, data mining technology, dual-frequency precision positioning technology, big data analysis technology and broadband network technology. Compiling with simple programming mode, data storage and management, virtualization technology and other key technologies. Through software and hardware for experimental configuration, deployment of cloud nodes, the establishment of mathematical models. Designed a unified spatial-temporal information cloud platform with universality, completeness and easy realization. In order to realize the architecture design and development of the cloud platform. This study give a cloud platform structure design to provide support for national planning. It provides new clues for the theoretical development and application of the spatial-temporal cloud platform construction of the strategic new districts such as the Great Bay Area, China Xiong'an New District and Wuhan Yangtze River New Town.
KW - Cloud Platform
KW - Distributed Computing
KW - Spatial-temporal
KW - Virtualization Technology
UR - https://www.scopus.com/pages/publications/85079625095
U2 - 10.1109/IEEM44572.2019.8978772
DO - 10.1109/IEEM44572.2019.8978772
M3 - Conference proceeding
AN - SCOPUS:85079625095
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 1155
EP - 1159
BT - 2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019
PB - IEEE Computer Society
T2 - 2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019
Y2 - 15 December 2019 through 18 December 2019
ER -