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Scientific Article details

Title Research on Data Sharing Analysis and Key Technology of Smart City
ID_Doc 45495
Authors Kong, Y; Zhao, JS; Yuan, L; Dong, N; Lin, YL; Yang, B
Title Research on Data Sharing Analysis and Key Technology of Smart City
Year 2018
Published
DOI
Abstract Data sharing among different platform in smart city is a key issue on big data era. This paper focuses on the core issues of heterogeneous data switching, sharing and updating in the construction of smart city. We first review the current research status of data sharing from three aspects which including big data characteristics, technology system and big data sharing platform in smart city. The analysis shows that the current data sharing research in smart city has been only used one or two types of data, and the data utilization mode is relatively simple. The research on the data sharing technology system of heterogeneous data needs to be further development. The research of data sharing is limited to a certain field, few platforms have studied data sharing in more than two fields, and horizontal data sharing methods need some breakthrough. Our work analyzes the data requirement and data source characteristics on the smart city construction platform, analyzes the hierarchical relationship and sharing relationship of various data from different platform, and clarifies the hierarchical relationship, sequence and sharing process of data sharing among different platforms. Then the platform architecture of data sharing, switching, updating and guarantee mechanism between heterogeneous systems based on cloud computing is proposed, and the data sharing and switching technology based on cloud and big data is proposed, which provide the top-level framework reference and technical support for the realization of cross platform data sharing in smart city. Finally, the paper concludes and analyzes the key implementation technology of data sharing in depth.
Author Keywords smart city; data sharing; cross platform; big data; smart kunming
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Conference Proceedings Citation Index - Science (CPCI-S)
EID WOS:000459847200101
WoS Category Engineering, Electrical & Electronic
Research Area Engineering
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