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Composable digital twins on Digital Twin as a Service platform.

  • Prasad Talasila
    ,
  • Cláudio Gomes
    ,
  • Lars Bernd Vosteen
    ,
  • Hannes Iven
    ,
  • Martin Leucker
    ,
  • Santiago Gil
  • Aarhus University
    ,
  • University of Lübeck
    ,
  • University of Oslo
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Publication Information

Output type

Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Original language

English

Article number

3

Pages from-to (Number of pages)

Pages 287-311 (25 pages)

Journal (Volume, Issue Number)

Simulation (Volume 101, Issue 3)

Publication milestones

  • Published - 01/12/2024

Publication status

Published - 01/12/2024

ISSN

1741-3133

Publication IDs

  • Scopus: 105001563698

Abstract

Establishing digital twins is a non-trivial endeavor especially when users face significant challenges in creating them from scratch. Ready availability of re-usable models, data, functions, and tool assets, can help with creation and use of digital twins. A number of frameworks/platforms exist to facilitate creation and use of digital twins. In this paper, we propose such a platform to manage digital twin assets, create composable digital twins from re-usable assets and make the digital twins available as a service to other users. The proposed platform supports the management of re-usable assets, storage, provision of compute infrastructure, communication, monitoring, and execution tasks. Two case studies are used to demonstrate the capabilities of this platform.

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