Smart City Gnosys

Smart city article details

Title	From Big Data To Smart Data-Centric Software Architectures For City Analytics: The Case Of The Pell Smart City Platform
ID_Doc	27144
Authors	Ali M.; Scandurra P.; Moretti F.; Blaso L.; Leccisi M.; Leccese F.
Year	2021
Published	Proceedings - 2021 IEEE International Conference on Smart Data Services, SMDS 2021
DOI	http://dx.doi.org/10.1109/SMDS53860.2021.00023
Abstract	Applications of Big Data to smart cities are nearly limitless. However, challenges emerged with handling data with new magnitude of dimensionality, heterogeneity, required processing timeliness, and the lack of reported development experiences on how to turn Big Data into Smart Data may hinder the adoption of Big Data technologies in delivering smarter city services. This paper reports our experience in developing a Smart Big Data-centric software platform for tracking city performance. Here we examine how to design such a platform by exploiting architectural styles and open source technology for Big data management. We describe the actual development of an instance of it, the PELL Smart City Platform, for processing and managing urban data in the domain of public lighting. In particular, we focus on the formulation and evaluation of key performance indicators related to energy consumption to derive Smart Data from Big Data in the context of public street lighting. ©2021 IEEE
Author Keywords	Big data; Energy consumption; Key performance indicators; Public street lighting; Smart city services

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