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 af dette arbejde

Institut for Elektro- og Computerteknologi - Software Engineering & Computing systems
Institut for Elektro- og Computerteknologi - Software Engineering & Computing systems - Edison

Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review

16 Citationer (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.

Originalsprog	Engelsk
Titel	Proceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021
Redaktører	Esam El-Araby, Vana Kalogeraki, Danilo Pianini, Frederic Lassabe, Barry Porter, Sona Ghahremani, Ingrid Nunes, Mohamed Bakhouya, Sven Tomforde
Antal sider	6
Forlag	IEEE
Publikationsdato	18 nov. 2021
Sider	172-177
ISBN (Elektronisk)	978-1-6654-4393-7
DOI	https://doi.org/10.1109/ACSOS-C52956.2021.00040
Status	Udgivet - 18 nov. 2021
Begivenhed	2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) - Virtual, Washington DC Varighed: 27 sep. 2021 → 1 okt. 2021 https://conf.researchr.org/home/acsos-2021

Konference

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

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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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Citationsformater

Esterle, L., Gomes, C., Frasheri, M., Ejersbo, H., Tomforde, S., & Larsen, P. G. (2021). Digital twins for collaboration and self-integration. I E. El-Araby, V. Kalogeraki, D. Pianini, F. Lassabe, B. Porter, S. Ghahremani, I. Nunes, M. Bakhouya, & S. Tomforde (red.), Proceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021 (s. 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. red. / Esam El-Araby ; Vana Kalogeraki ; Danilo Pianini ; Frederic Lassabe ; Barry Porter ; Sona Ghahremani ; Ingrid Nunes ; Mohamed Bakhouya ; Sven Tomforde. IEEE, 2021. s. 172-177

@inproceedings{3831125816db4881a354cd73add793a3,

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.",

keywords = "Autonomy, Cyber-physical systems, Digital twins, System of systems",

author = "Lukas Esterle and Cl{\'a}udio Gomes and Mirgita Frasheri and Henrik Ejersbo and Sven Tomforde and Larsen, {Peter Gorm}",

year = "2021",

month = nov,

day = "18",

doi = "10.1109/ACSOS-C52956.2021.00040",

language = "English",

pages = "172--177",

editor = "Esam El-Araby and Vana Kalogeraki and Danilo Pianini and Frederic Lassabe and Barry Porter and Sona Ghahremani and Ingrid Nunes and Mohamed Bakhouya and Sven Tomforde",

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",

url = "https://conf.researchr.org/home/acsos-2021",

}

Esterle, L , Gomes, C , Frasheri, M, Ejersbo, H, Tomforde, S & Larsen, PG 2021, Digital twins for collaboration and self-integration. i E El-Araby, V Kalogeraki, D Pianini, F Lassabe, B Porter, S Ghahremani, I Nunes, M Bakhouya & S Tomforde (red), Proceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021. IEEE, s. 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. red. / Esam El-Araby; Vana Kalogeraki; Danilo Pianini; Frederic Lassabe; Barry Porter; Sona Ghahremani; Ingrid Nunes; Mohamed Bakhouya; Sven Tomforde. IEEE, 2021. s. 172-177.

Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

T1 - Digital twins for collaboration and self-integration

AU - Esterle, Lukas

AU - Gomes, Cláudio

AU - Frasheri, Mirgita

AU - Ejersbo, Henrik

AU - Tomforde, Sven

AU - Larsen, Peter Gorm

PY - 2021/11/18

Y1 - 2021/11/18

N2 - 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.

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.

KW - Autonomy

KW - Cyber-physical systems

KW - Digital twins

KW - System of systems

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U2 - 10.1109/ACSOS-C52956.2021.00040

DO - 10.1109/ACSOS-C52956.2021.00040

M3 - Article in proceedings

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EP - 177

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

A2 - El-Araby, Esam

A2 - Kalogeraki, Vana

A2 - Pianini, Danilo

A2 - Lassabe, Frederic

A2 - Porter, Barry

A2 - Ghahremani, Sona

A2 - Nunes, Ingrid

A2 - Bakhouya, Mohamed

A2 - Tomforde, Sven

PB - IEEE

T2 - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)

Y2 - 27 September 2021 through 1 October 2021

ER -

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

Digital twins for collaboration and self-integration

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