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.
Snap4City: A Scalable IOT/IOE Platform for Developing Smart City Applications / C. Badii, E.G. Belay, P. Bellini, D. Cenni, M. Marazzini, M. Mesiti, P. Nesi, G. Pantaleo, M. Paolucci, S. Valtolina, M. Soderi, I. Zaza - In: 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)[s.l] : IEEE press, 2018. - ISBN 9781538693803. - pp. 2109-2116 (( Intervento presentato al 2. convegno International Conference IEEE Smart City Innovation tenutosi a Guangzhou nel 2018.
|Titolo:||Snap4City: A Scalable IOT/IOE Platform for Developing Smart City Applications|
|Parole Chiave:||data model; big data; smart city; IOT; performance assessment|
|Settore Scientifico Disciplinare:||Settore INF/01 - Informatica|
|Data di pubblicazione:||2018|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1109/SmartWorld.2018.00353|
|Tipologia:||Book Part (author)|
|Appare nelle tipologie:||03 - Contributo in volume|