Back to Search Start Over

Domain framework for implementation of open IoT ecosystems

Authors :
Joao Sarraipa
Alexis Aubry
Wided Guédria
Milan Zdravković
Néjib Moalla
Jelena Zdravkovic
Faculty of Mechanical Engineering, Laboratory for Intelligent Production Systems (LIPS)
University of Niš
Centre de Recherche en Automatique de Nancy (CRAN)
Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)
Décision et Information pour les Systèmes de Production (DISP)
Université Lumière - Lyon 2 (UL2)-Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon)
Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)
Luxembourg Institute of Science and Technology (LIST)
GRIS - Group for Research in Interoperability of Systems (GRIS-UNINOVA)
Source :
International Journal of Production Research, International Journal of Production Research, Taylor & Francis, 2018, 56 (7), pp.2552-2569. ⟨10.1080/00207543.2017.1385870⟩
Publication Year :
2018
Publisher :
HAL CCSD, 2018.

Abstract

International audience; The current Internet-of-things (IoT) hype, pushed by the unprecedented rate of the technological enablers’ innovation, is threatening to leave behind some major, not so obvious, unresolved issues. IoT platforms will extend existing enterprise information systems (EIS) infrastructures to encompass cross-domain sensing and actuating capabilities, thus introducing additional complexity and major risks to the implementation. Furthermore, IoT platforms are typically driven by models of the trivial complexity; they support very simple data structures and almost no business logic implementation. Finally, IoT systems are today managed centrally, which often means less openness, less flexibility and greater change management costs. In this article, we provide the overview of the scientific disciplines which could contribute to the resolution of the IoT implementation problem, namely requirements engineering, change management/continuous improvement, model-based systems engineering, system architecture design, interoperability and policy and regulatory aspects. Then, we identify the challenges of these contributions in the context of IoT and finally make an attempt to identify research directions which could have a significant impact. The discussion of the challenges and opportunities is illustrated by the proposed domain framework for implementation of open IoT ecosystems.

Details

Language :
English
ISBN :
978-0-321-63584-6
0-321-63584-1
ISSN :
00207543 and 1366588X
ISBNs :
9780321635846 and 0321635841
Database :
OpenAIRE
Journal :
International Journal of Production Research, International Journal of Production Research, Taylor & Francis, 2018, 56 (7), pp.2552-2569. ⟨10.1080/00207543.2017.1385870⟩
Accession number :
edsair.doi.dedup.....26597f19003c3b2ac345fa67bcaaed60
Full Text :
https://doi.org/10.1080/00207543.2017.1385870⟩