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An osmotic ecosystem for data streaming applications in smart cities

Contributo in Atti di convegno
Data di Pubblicazione:
2021
Abstract:
Modern multi-tier Cloud-Edge-IoT computational platforms seamlessly map with the distributed and hierarchical nature of smart cities infrastructure. However, classical tools and methodologies to organise data as well as computational and network resources are poorly equipped to tackle the dynamic and heterogeneous environments of smart cities. In this paper we propose a reference architecture that aims to establish a unified approach for the orchestration of modern Cloud-Edge-IoT infrastructures and resources specifically tailored for data streaming applications in smart-cities. Stemming from the proposed reference architecture, we also discuss a series of open challenges, which we believe represent relevant research directions in the nearest future.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Smart cities; Edge computing; Data streaming
Elenco autori:
Coppola, Massimo; Dazzi, Patrizio; Carlini, Emanuele
Autori di Ateneo:
CARLINI EMANUELE
COPPOLA MASSIMO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/400001
Link al Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/400001/129961/prod_454370-doc_175103.pdf
Titolo del libro:
FRAME '21: Proceedings of the 1st Workshop on Flexible Resource and Application Management on the Edge
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URL

https://dl.acm.org/doi/10.1145/3452369.3463822
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