Snap4City: A scalable IOT/IOE platform for developing smart city applications

Claudio Badii, E. G. Belay, Pierfrancesco Bellini, Daniele Cenni, Mino Marazzini, Marco Mesiti, Paolo Nesi, Gianni Pantaleo, Michela Paolucci, Stefano Valtolina, Mirco Soderi, Imad Zaza, F. Hachem

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

46 Citations (Scopus)

Abstract

Smart City solutions, initially started with open data, are evolving towards data aggregation and semantics. Recently, some of them are also offering IOT support. The combination of IOT and smart city is not an easy task, the data volumes are much higher than those addressed for industrial IOT. The complexity of IOT smart city solutions have been identified by a number of actors. The European commission started set up the EIP project for stimulating and concerting actions. The Select4Cities project of the European Commission and associated community http://www.select4cities.eu/ created a challenge to find research solutions satisfying a formalized set of functional and nonfunctional requirements. Snap4City presented in this paper is one of the solutions developed in response to that challenge. The solution proposed is capable to develop in few steps sophisticated IOT applications that can control city dashboards as well as IOT mobile applications. Moreover, a number of development and monitoring tools have been developed. Among them, in this paper, a special attention is given to the tools and solutions for monitoring communication performance and to perform the assessment of scalability of the IOT smart city infrastructure.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018
EditorsFrederic Loulergue, Guojun Wang, Md Zakirul Alam Bhuiyan, Xiaoxing Ma, Peng Li, Manuel Roveri, Qi Han, Lei Chen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2109-2116
Number of pages8
ISBN (Electronic)9781538693803
DOIs
Publication statusPublished - 4 Dec 2018
Externally publishedYes
Event4th IEEE SmartWorld, 15th IEEE International Conference on Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018 - Guangzhou, China
Duration: 7 Oct 201811 Oct 2018

Publication series

NameProceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018

Conference

Conference4th IEEE SmartWorld, 15th IEEE International Conference on Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018
Country/TerritoryChina
CityGuangzhou
Period7/10/1811/10/18

Keywords

  • Big data
  • Data model
  • IOT
  • Performance assessment
  • Smart city

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