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Digital Twin as a Service (DTaaS): A Platform for Digital Twin Developers and Users

Authors :
Talasila, Prasad
Gomes, Cláudio
Mikkelsen, Peter Høgh
Arboleda, Santiago Gil
Kamburjan, Eduard
Larsen, Peter Gorm
Publication Year :
2023

Abstract

Establishing digital twins is a non-trivial endeavour especially when users face significant challenges in creating them from scratch. Ready availability of reusable models, data and tool assets, can help with creation and use of digital twins. A number of digital twin frameworks exist to facilitate creation and use of digital twins. In this paper we propose a digital twin framework to author digital twin assets, create digital twins from reusable assets and make the digital twins available as a service to other users. The proposed framework automates the management of reusable assets, storage, provision of compute infrastructure, communication and monitoring tasks. The users operate at the level of digital twins and delegate rest of the work to the digital twin as a service framework.<br />Comment: 8 pages, 6 figures. Accepted at Digital Twin 2023

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2305.07244
Document Type :
Working Paper
Full Text :
https://doi.org/10.1109/SWC57546.2023.10448890