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Model-Driven Engineering for Mission-Critical IoT Systems

Authors :
Davide Di Ruscio
Ivica Crnkovic
Federico Ciccozzi
Ivano Malavolta
Patrizio Pelliccione
Romina Spalazzese
Software and Sustainability (S2)
Source :
IEEE Software, 34(1):7819388, 46-53. IEEE Computer Society, Ciccozzi, F, Crnkovic, I, Ruscio, D D, Malavolta, I, Pelliccione, P & Spalazzese, R 2017, ' Model-Driven Engineering for Mission-Critical IoT Systems ', IEEE Software, vol. 34, no. 1, 7819388, pp. 46-53 . https://doi.org/10.1109/MS.2017.1
Publication Year :
2017

Abstract

Mission-critical Internet of Things (MC-IoT) systems involve heterogeneous things from both the digital and physical worlds. They run applications whose failure might cause significant and possibly dramatic consequences, such as interruption of public services, significant business losses, and deterioration of enterprise operations. These applications require not only high availability, reliability, safety, and security but also regulatory compliance, scalability, and serviceability. At the same time, they're exposed to various facets of uncertainty, spanning from software and hardware variability to mission planning and execution in possibly unforeseeable environments. Model-driven engineering can potentially meet these challenges and better enable the adoption of MC-IoT systems.

Details

ISSN :
07407459
Volume :
34
Issue :
1
Database :
OpenAIRE
Journal :
IEEE Software
Accession number :
edsair.doi.dedup.....23c15a16fd6427c9b10fec0c116cadb6