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Research and Design on Key Technologies of Spatial-Temporal Cloud Platform Construction

Bin Zhang*, Riji Yu, Dingzhou Fei, Baichuan Huang, Yao Song, Ling Peng, Yuhuai Zeng

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

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.
Original languageEnglish
Title of host publication2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
PublisherIEEE
Pages1155-1159
ISBN (Electronic)978-1-7281-3804-6
DOIs
Publication statusPublished - 18 Dec 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Research Keywords

  • Cloud Platform
  • Virtualization Technology
  • Distributed Computing
  • Spatial-temporal

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