Toward Autonomic, Software-Intensive Digital Twin Systems

Luis F. Rivera; Miguel Jimenez; Norha M. Villegas; Gabriel Tamura; Hausi A. Muller

doi:10.1109/MS.2021.3133913

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Toward Autonomic, Software-Intensive Digital Twin Systems

Journal article

Peer reviewed

Toward Autonomic, Software-Intensive Digital Twin Systems

Luis F. Rivera, Miguel Jimenez, Norha M. Villegas, Gabriel Tamura and Hausi A. Muller

IEEE software, Vol.39(2), pp.20-26

01/03/2022

DOI: https://doi.org/10.1109/MS.2021.3133913

Abstract

Adaptation models

Adaptive control

Data models

Digital twin

Feedback loop

Mirrors

Runtime

Digital twins (DTs) mirror and model the characteristics and properties of dynamic, real-world entities known as real twins (RTs). Ensuring the delivery of consistent and reliable RT insights over time demands DTs preserve the correspondence with their counterparts, notwithstanding change.

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Title: Toward Autonomic, Software-Intensive Digital Twin Systems
Creators - without role: Luis F. Rivera - University of Victoria
Miguel Jimenez - University of Victoria
Norha M. Villegas - Icesi University
Gabriel Tamura - Icesi University
Hausi A. Muller - University of Victoria
Publication Details: IEEE software, Vol.39(2), pp.20-26
Publisher: IEEE
Grant note: Natural Sciences and Engineering Research Council of Canada (10.13039/501100000038)
Identifiers: 9945045008331
Academic Unit: King Abdullah University of Science & Technology
Language: English
Resource Type: Journal article