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On the Challenges of Integrating Digital Twins
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On the Challenges of Integrating Digital Twins

Abstract

Digital Twins (DTs) are a key technology for smart ecosystems to provide accurate digital representation of their constituents, e.g., smart buildings, farms, transportation, and citizens, as well as synchronization between the digital and the real subject, and the exploration of what-if scenarios and tradeoff reasoning. To cope with emerging complex socio-technical ecosystems, we need to bring DTs together, which is a challenging endeavor. After giving a historical overview of system adaptation, we review the many enabling technologies that can help with DT integration. Using a smart city as an illuminating example to highlight scenarios that require integration of DTs, we discuss a model-based conceptual framework that identifies DT integration strategies and elaborate on nine key integration challenges that still need to be addressed. We call on the DT community to investigate these challenges.

Authors

Combemaleo B; Kienzle J; Mussbacher G; Archambault P; Bruel J-M; Burgueño L; Cheng BHC; Cleophas L; Engels G; Foures D

Volume

00

Pagination

pp. 243-249

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

October 10, 2025

DOI

10.1109/models-c68889.2025.00042

Name of conference

2025 ACM/IEEE 28th International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)
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