Digital Twins (DTs) have recently emerged as a valuable approach for modeling, monitoring, and controlling physical objects in Industrial Internet of Things applications. Measuring the quality of entanglement between the digital and physical counterparts plays a crucial role in the adoption of DTs. In this paper, we propose a concise yet expressive metric for representing the quality of entanglement, namely Overall Digital Twin Entanglement (ODTE), based on two key factors: timeliness and completeness. Furthermore, the paper presents the development of our industrial testbed implemented on top of Kubernetes, where we show practical applications of the proposed ODTE metric by highlighting and discussing its benefits in realistic use cases.

Measuring Digital Twin Entanglement in Industrial Internet of Things / Bellavista, Paolo; Bicocchi, Nicola; Fogli, Mattia; Giannelli, Carlo; Mamei, Marco; Picone, Marco. - 2023-May:(2023), pp. 5897-5903. (Intervento presentato al convegno 2023 IEEE International Conference on Communications, ICC 2023 tenutosi a Rome nel 28 May 2023) [10.1109/icc45041.2023.10278787].

Measuring Digital Twin Entanglement in Industrial Internet of Things

Bicocchi, Nicola;Mamei, Marco;Picone, Marco
2023

Abstract

Digital Twins (DTs) have recently emerged as a valuable approach for modeling, monitoring, and controlling physical objects in Industrial Internet of Things applications. Measuring the quality of entanglement between the digital and physical counterparts plays a crucial role in the adoption of DTs. In this paper, we propose a concise yet expressive metric for representing the quality of entanglement, namely Overall Digital Twin Entanglement (ODTE), based on two key factors: timeliness and completeness. Furthermore, the paper presents the development of our industrial testbed implemented on top of Kubernetes, where we show practical applications of the proposed ODTE metric by highlighting and discussing its benefits in realistic use cases.
2023
2023 IEEE International Conference on Communications, ICC 2023
Rome
28 May 2023
2023-May
5897
5903
Bellavista, Paolo; Bicocchi, Nicola; Fogli, Mattia; Giannelli, Carlo; Mamei, Marco; Picone, Marco
Measuring Digital Twin Entanglement in Industrial Internet of Things / Bellavista, Paolo; Bicocchi, Nicola; Fogli, Mattia; Giannelli, Carlo; Mamei, Marco; Picone, Marco. - 2023-May:(2023), pp. 5897-5903. (Intervento presentato al convegno 2023 IEEE International Conference on Communications, ICC 2023 tenutosi a Rome nel 28 May 2023) [10.1109/icc45041.2023.10278787].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1334326
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