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Model-Driven Engineering for Mission-Critical IoT Systems
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-0401-1036
Chalmers University of Technology, University of Gothenburg, Sweden.ORCID iD: 0000-0002-5278-755X
University of L'Aquila, Italy.
University of L'Aquila, Italy.
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2017 (English)In: IEEE Software, ISSN 0740-7459, Vol. 34, no 1, 46-53 p., 7819388Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2017. Vol. 34, no 1, 46-53 p., 7819388
Keyword [en]
Internet of Things, IoT, mission-critical systems, model-driven engineering, software development, software engineering, Regulatory compliance, Software design, High availability, Mission critical, Mission critical systems, Mission planning, Physical world, Public services, Software and hardwares
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:mdh:diva-34767DOI: 10.1109/MS.2017.1ISI: 000397122000012Scopus ID: 2-s2.0-85010302951OAI: oai:DiVA.org:mdh-34767DiVA: diva2:1072697
Available from: 2017-02-08 Created: 2017-02-02 Last updated: 2017-04-06Bibliographically approved

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CiteExportLink to record
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