Digital twins for collaboration and self-integration

Lukas Esterle; Cláudio Gomes; Mirgita Frasheri; Henrik Ejersbo; Sven Tomforde; Peter Gorm Larsen

doi:10.1109/ACSOS-C52956.2021.00040

Digital twins for collaboration and self-integration

Lukas Esterle^*, Cláudio Gomes^*, Mirgita Frasheri^*, Henrik Ejersbo^*, Sven Tomforde^*, Peter Gorm Larsen^*

^*Corresponding author for this work

Department of Electrical and Computer Engineering - Software Engineering & Computing systems
Department of Electrical and Computer Engineering - Software Engineering & Computing systems - Edison

Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review

16 Citations (Scopus)

Abstract

Digital twins are digital representations of cyber-physical systems, allowing bi-directional data and control flow between them. In this paper, we introduce the digital twin concept in self-integrating and self-improving systems. Specifically, we highlight the usage of digital twin models for autonomous systems spontaneously interacting with each other and aiming to improve collaboration and mutual safety. We present the main challenges and an initial architecture to enable autonomous cyber-physical systems to collaborate, self-integrate, and self-improve during run-time.

Original language	English
Title of host publication	Proceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021
Editors	Esam El-Araby, Vana Kalogeraki, Danilo Pianini, Frederic Lassabe, Barry Porter, Sona Ghahremani, Ingrid Nunes, Mohamed Bakhouya, Sven Tomforde
Number of pages	6
Publisher	IEEE
Publication date	18 Nov 2021
Pages	172-177
ISBN (Electronic)	978-1-6654-4393-7
DOIs	https://doi.org/10.1109/ACSOS-C52956.2021.00040
Publication status	Published - 18 Nov 2021
Event	2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) - Virtual, Washington DC Duration: 27 Sept 2021 → 1 Oct 2021 https://conf.researchr.org/home/acsos-2021

Conference

Conference	2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)
Location	Virtual, Washington DC
Period	27/09/2021 → 01/10/2021
Internet address	https://conf.researchr.org/home/acsos-2021

Keywords

Autonomy
Cyber-physical systems
Digital twins
System of systems

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10.1109/ACSOS-C52956.2021.00040

https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9599295&tag=1

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Esterle, L., Gomes, C., Frasheri, M., Ejersbo, H., Tomforde, S., & Larsen, P. G. (2021). Digital twins for collaboration and self-integration. In E. El-Araby, V. Kalogeraki, D. Pianini, F. Lassabe, B. Porter, S. Ghahremani, I. Nunes, M. Bakhouya, & S. Tomforde (Eds.), Proceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021 (pp. 172-177). IEEE. https://doi.org/10.1109/ACSOS-C52956.2021.00040

Esterle, Lukas ; Gomes, Cláudio ; Frasheri, Mirgita et al. / Digital twins for collaboration and self-integration. Proceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021. editor / Esam El-Araby ; Vana Kalogeraki ; Danilo Pianini ; Frederic Lassabe ; Barry Porter ; Sona Ghahremani ; Ingrid Nunes ; Mohamed Bakhouya ; Sven Tomforde. IEEE, 2021. pp. 172-177

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title = "Digital twins for collaboration and self-integration",

abstract = "Digital twins are digital representations of cyber-physical systems, allowing bi-directional data and control flow between them. In this paper, we introduce the digital twin concept in self-integrating and self-improving systems. Specifically, we highlight the usage of digital twin models for autonomous systems spontaneously interacting with each other and aiming to improve collaboration and mutual safety. We present the main challenges and an initial architecture to enable autonomous cyber-physical systems to collaborate, self-integrate, and self-improve during run-time.",

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booktitle = "Proceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021",

publisher = "IEEE",

note = "2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) ; Conference date: 27-09-2021 Through 01-10-2021",

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Esterle, L , Gomes, C , Frasheri, M, Ejersbo, H, Tomforde, S & Larsen, PG 2021, Digital twins for collaboration and self-integration. in E El-Araby, V Kalogeraki, D Pianini, F Lassabe, B Porter, S Ghahremani, I Nunes, M Bakhouya & S Tomforde (eds), Proceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021. IEEE, pp. 172-177, 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C), 27/09/2021. https://doi.org/10.1109/ACSOS-C52956.2021.00040

Digital twins for collaboration and self-integration. / Esterle, Lukas ; Gomes, Cláudio ; Frasheri, Mirgita et al.
Proceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021. ed. / Esam El-Araby; Vana Kalogeraki; Danilo Pianini; Frederic Lassabe; Barry Porter; Sona Ghahremani; Ingrid Nunes; Mohamed Bakhouya; Sven Tomforde. IEEE, 2021. p. 172-177.

Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review

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AU - Gomes, Cláudio

AU - Frasheri, Mirgita

AU - Ejersbo, Henrik

AU - Tomforde, Sven

AU - Larsen, Peter Gorm

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AB - Digital twins are digital representations of cyber-physical systems, allowing bi-directional data and control flow between them. In this paper, we introduce the digital twin concept in self-integrating and self-improving systems. Specifically, we highlight the usage of digital twin models for autonomous systems spontaneously interacting with each other and aiming to improve collaboration and mutual safety. We present the main challenges and an initial architecture to enable autonomous cyber-physical systems to collaborate, self-integrate, and self-improve during run-time.

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ER -

Esterle L , Gomes C , Frasheri M, Ejersbo H, Tomforde S, Larsen PG. Digital twins for collaboration and self-integration. In El-Araby E, Kalogeraki V, Pianini D, Lassabe F, Porter B, Ghahremani S, Nunes I, Bakhouya M, Tomforde S, editors, Proceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021. IEEE. 2021. p. 172-177 doi: 10.1109/ACSOS-C52956.2021.00040

Digital twins for collaboration and self-integration

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