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A scalable approach for smart city data platform: Support of real-time processing and data sharing

Abstract:

The concept of a smart city comes with the need to support a data platform that can gather, process and export the data of millions of sensors, coming from different sources, with information in different formats, in a scalable approach for real-time and historical data visualization, processing, and actuation in the city. This paper proposes a Data Platform for the Aveiro Tech City Living Lab, to gather, process, visualize and actuate on mobility, environmental and network data. The architecture of the platform provides a real open platform that is accessible for third-parties to collect data and to experiment their own solutions, through a secure and open data platform at their disposal. The platform was also designed to be scaled and modified when necessary, being composed by distributed solutions across the existent modules. The results with respect to the amount of data gathered, the ingestion and query performance comparison between the persistence solutions considered, and examples of data, show how this platform can be used to efficiently develop new applications and use both real-time and historical data for future pbkp_redictions and actuations in a smart city.