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Decision-Making About Federated Digital Twins – How to Distribute Information Storage and Computing

dc.contributor.authorBonorden, Leif
dc.contributor.authorFrerichs, Marc
dc.contributor.authorRiebisch, Matthias
dc.contributor.authorvon Riegen, Stephanie
dc.contributor.authorHartke, Florian
dc.contributor.authorHerzog, Rainer
dc.contributor.authorHotz, Lothar
dc.contributor.authorJürgensen, Dennis
dc.contributor.authorKiele-Dunsche, Markus
dc.contributor.authorSchottler, Seeko
dc.contributor.authorSchroeder, Rafael
dc.contributor.editorRiebisch, Matthias
dc.contributor.editorTropmann-Frick, Marina
dc.date.accessioned2022-08-31T10:17:59Z
dc.date.available2022-08-31T10:17:59Z
dc.date.issued2022
dc.description.abstractDigital Twins are commonly used as virtual representations of physical objects in manufacturing industries. Information for Digital Twins may be collected from multiple sources and stored in a distributed manner, leading to a Federated Digital Twin. Since decisions about such a federation are crucial for the system and its architecture, they should be guided by reliable and well-evaluated methods. However, current research is focused on distributed data sources but is missing decisions about the distribution of the digital twin itself. We present an approach to partition Federated Digital Twins by classifying information types, computing resources, and concerns of data suppliers. Furthermore, we show how decisions are made based on the Decision Model and Notation standard and evaluate the approach using an industrial case study.en
dc.identifier.doi10.18420/modellierung2022-006
dc.identifier.isbn978-3-88579-718-0
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/39301
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofModellierung 2022
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-324
dc.titleDecision-Making About Federated Digital Twins – How to Distribute Information Storage and Computingen
dc.typeText/Conference Paper
gi.citation.endPage64
gi.citation.publisherPlaceBonn
gi.citation.startPage49
gi.conference.date27.Juni - 01.Juli 2022
gi.conference.locationHamburg
gi.conference.sessiontitleDigital Twin

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