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Model-Driven Engineering for Mission-Critical IoT Systems

Fulltext:


Authors:

Federico Ciccozzi, Ivica Crnkovic, Davide Di Ruscio , Ivano Malavolta , Patrizio Pelliccione , Romina Spalazzese

Publication Type:

Journal article

Venue:

IEEE Software 2017


Abstract

Mission-critical Internet of Things (MC-IoT) systems involve heterogeneous things, both from the digital and physical worlds and run applications whose failure may cause significant and possibly dramatic consequences, such as interruption of public services, significant loss in business, and deterioration of enterprise operations. These applications require high availability, reliability, safety and security, but also compliance to regulations, performance at scale, and serviceability. At the same time, they are exposed to various facets of uncertainty, spanning from software and hardware variability to the one associated to mission planning and execution in possibly unforeseeable environments. With this article we aim at (i) setting and discussing technological challenges of MC-IoT, and (ii) critically analysing model-driven engineering as a possible candidate methodology to better support the adoption of MC-IoT.

Bibtex

@article{Ciccozzi4515,
author = {Federico Ciccozzi and Ivica Crnkovic and Davide Di Ruscio and Ivano Malavolta and Patrizio Pelliccione and Romina Spalazzese},
title = {Model-Driven Engineering for Mission-Critical IoT Systems},
editor = {IEEE},
volume = {34},
number = {1},
pages = {1--14},
month = {January},
year = {2017},
journal = {IEEE Software 2017},
url = {http://www.es.mdh.se/publications/4515-}
}