In recent years, with the increasing popularity of IoT, the rapid growth of smartphone usage enabled by the in-crease adoption of Internet services and the continuously de-creasing costs of these devices and services has led to a huge increase in the volume of data that governments can use in the context of smart city initiatives. The need for analytics is becoming a requirement for smart city projects such as city dashboards to provide citizens with an easy to understand overview of the city. As such, data should be analyzed, re-duced and presented in such a way that citizens can easily understand various aspects of the city and use this informa-tion to increase quality of life. In this paper, we firstly present the context and the start of the design and implementation of proposed solution for real-time data processing in smart cities, mainly an analytics processing pipeline and a dashboard pro-totype for this solution, named My City Dashboard. We focus on high scalability and modularity of this platform.
CITATION STYLE
Usurelu, C. C., & Pop, F. (2017). My city dashboard: Real-time data processing platform for smart cities. Journal of Telecommunications and Information Technology, 2017(1), 89–100. https://doi.org/10.26636/jtit.2017.1.655
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