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Domain framework for implementation of open IoT ecosystems
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
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2018 (English)In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 56, no 7, p. 2552-2569Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2018. Vol. 56, no 7, p. 2552-2569
Keywords [en]
Internet of things, interoperability, model-based systems engineering, maturity assessment, requirements engineering, multi-agent systems
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-149549DOI: 10.1080/00207543.2017.1385870OAI: oai:DiVA.org:su-149549DiVA, id: diva2:1162859
Available from: 2017-12-05 Created: 2017-12-05 Last updated: 2018-06-05Bibliographically approved

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