My City Dashboard: Real-time Data Processing Platform for Smart Cities

Authors

  • Catalin-Constantin Usurelu
  • Florin Pop

DOI:

https://doi.org/10.26636/jtit.2017.1.655

Keywords:

big data, data analytics, real-time processing, smart cities, statistics

Abstract

In recent years, with the increasing popularity of IoT, the rapid growth of smartphone usage enabled by the increase adoption of Internet services and the continuously decreasing 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, reduced and presented in such a way that citizens can easily understand various aspects of the city and use this information 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 prototype for this solution, named My City Dashboard. We focus on high scalability and modularity of this platform.

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Published

2017-03-30

Issue

Section

ARTICLES FROM THIS ISSUE

How to Cite

[1]
C.-C. Usurelu and F. Pop, “My City Dashboard: Real-time Data Processing Platform for Smart Cities”, JTIT, vol. 67, no. 1, pp. 89–100, Mar. 2017, doi: 10.26636/jtit.2017.1.655.

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