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Wang, Shaohua; Zhong, Yang; Wang, Erqi
Future generation computer systems, 20/May , Letnik: 94Journal Article
With the increase in smart devices, spatiotemporal data has grown exponentially. To deal with challenges caused by an increase data requires a scalable and efficient architecture that can store, query, analyze, and visualize spatiotemporal big data. This paper describes a Cloud-terminal integrated GIS platform architecture designed to meet the requirements of processing and analyzing spatiotemporal big data. Cloud-terminal Integration GIS is developed according to the architecture. Extensive experiments deployed on the internal organization cluster using real-time datasets showed that the SuperMap GIS spatiotemporal big data engine achieved excellent performance. •We propose an integrated GIS platform architecture designed to meet the requirements of processing and analyzing spatiotemporal big data.•Cloud-terminal Integration GIS for spatiotemporal big data is developed.•The experiments for spatiotemporal big data showed SuperMap GIS spatiotemporal big data engine achieved excellent performance.
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Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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