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  1. Pubblicazioni

Fluidware: An approach towards adaptive and scalable programming of the IoT

Contributo in Atti di convegno
Data di Pubblicazione:
2019
Citazione:
Fluidware: An approach towards adaptive and scalable programming of the IoT / Fortino, G.; Re, B.; Viroli, M.; Zambonelli, F.. - 11665:(2019), pp. 411-427. ( Models, Languages, and Tools for Concurrent and Distributed Programming Lucca (I) 2019) [10.1007/978-3-030-21485-2_22].
Abstract:
The objective of this paper is to present the vision and structure of Fluidware, an approach towards an innovative programming model to ease the development of flexible and robust large-scale IoT services and applications. The key distinctive idea of Fluidware is to abstract collectives of devices of the IoT fabric as sources, digesters, and targets of distributed “flows” of contextualized events, carrying information about data produced and actuating commands. Accordingly, programming of services and applications relies on declarative specification of “funnel processes” to channel, elaborate, and re-direct such flows in a fully-distributed way, as a means to coordinate the activities of devices and realize services and applications. The potential applicability of Fluidware and its expected advantages are exemplified via a case study scenario in the area of ambient assisted living.
Tipologia CRIS:
Relazione in Atti di Convegno
Keywords:
Adaptive systems; Distributed programming; Internet of Things; Middleware
Elenco autori:
Fortino, G.; Re, B.; Viroli, M.; Zambonelli, F.
Autori di Ateneo:
ZAMBONELLI Franco
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1181477
Titolo del libro:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pubblicato in:
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Journal
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Series
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Dati Generali

URL

https://www.springer.com/series/558
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