On the Challenges of Integrating Digital TwinsVision
This program is tentative and subject to change.
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 trade-off reasoning. To cope with emerging complex socio-technical ecosystems, we need to bring DTs together, which is a challenging endeavor. After giving an 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.
This program is tentative and subject to change.
Mon 6 OctDisplayed time zone: Eastern Time (US & Canada) change
10:30 - 12:00 | |||
10:30 20mPaper | Earth Science Digital Twins: A Systematic Literature ReviewRegular Technical Track | ||
10:50 20mPaper | Model-driven Digital Twins for AECORegular Technical Track Philipp Zech University of Innsbruck, Austria, Simon Senoner University of Innsbruck, Austria, Emanuele Goldin University of Innsbruck, Sascha Hammes University of Innsbruck - Unit of Energy Efficient Building, Judith Michael University of Regensburg Pre-print | ||
11:10 15mPaper | Engineering Digital Twins: A Research RoadmapVision Technical Track Benoit Combemale University of Rennes, Inria, CNRS, IRISA, Pascale Vicat Blanc Inria, Arnaud Blouin Univ Rennes, INSA Rennes, Inria, CNRS, IRISA, Hind Bril El Haouzi University of Lorraine, France, Jean-Michel Bruel Université de Toulouse, France, Julien DeAntoni , Thierry Duval IMT Atlantique, Sebastian Gerard CEA Saclay - NanoInnov, Jean-Marc Jézéquel Univ Rennes, IUF, INRIA, CNRS, IRISA Pre-print | ||
11:25 15mPaper | Evolution at the Core of Digital Twin EngineeringVision Technical Track Tarek Alskaif Wageningen University, Önder Babur Wageningen University & Research, Francis Bordeleau École de Technologie Supérieure (ETS), Loek Cleophas Eindhoven University of Technology (TU/e) and Stellenbosch University (SU), Benoit Combemale University of Rennes, Inria, CNRS, IRISA, Joachim Denil University of Antwerp, Belgium, Øystein Haugen Østfold University College, Judith Michael University of Regensburg, Phu Nguyen SINTEF, Tiberiu Seceleanu Mälardalen University, Mark van den Brand Eindhoven University of Technology, Hans Vangheluwe University of Antwerp and Flanders Make Pre-print | ||
11:40 20mPaper | On the Challenges of Integrating Digital TwinsVision Technical Track Benoit Combemale University of Rennes, Inria, CNRS, IRISA, Jörg Kienzle ITIS Software, University of Malaga, Gunter Mussbacher McGill University, Pascal Archambault , Jean-Michel Bruel Université de Toulouse, France, Lola Burgueño University of Malaga, Betty H.C. Cheng Michigan State University, Loek Cleophas Eindhoven University of Technology (TU/e) and Stellenbosch University (SU), Gregor Engels Paderborn University, Damien Foures , Stefan Klikovits Johannes Kepler University, Linz, Vinay Kulkarni Tata Consultancy Services Research, Judith Michael University of Regensburg, Sébastien Mosser McMaster University, Houari Sahraoui DIRO, Université de Montréal, Eugene Syriani Université de Montréal, Andreas Wortmann University of Stuttgart Pre-print |