Application-Driven Network-Aware Digital Twin Management in Industrial Edge Environments

Bellavista, Paolo; Giannelli, Carlo; Mamei, Marco; Mendula, Matteo; Picone, Marco

doi:10.1109/tii.2021.3067447

Cited by 89 publications

(31 citation statements)

References 36 publications

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“…In [28], a DT empowered air-ground network is proposed to represent the network environment virtually for scheme optimization. In [60], DT is leveraged to deal with the resource allocation problem in industrial edge environments.…”

Section: A Conceptmentioning

confidence: 99%

Survey on Digital Twin Edge Networks (DITEN) Toward 6G

Tang

Chen

Rodrigues

et al. 2022

IEEE Open J. Commun. Soc.

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The next generation (6G) wireless systems aim to cater to the Internet of Everything (IoE) and revolutionize customer services and applications to a fully intelligent and autonomous system. To achieve this, the digital twin edge network (DITEN) is proposed to combine mobile/multi-access edge computing (MEC) and digital twin (DT), thereby improving the network performance such as throughput and security, and reducing the cost of communication, computation, and caching. In DITENs, the network status can be continuously monitored, and based on the obtained network states, the networking schemes, such as routing and resource management, can be studied in the established DITENs from a centralized perspective. In this survey, we present a comprehensive overview of DITEN for 6G. First, we present the fundamental aspects of DITEN, including concept, framework, and potential. Second, a comprehensive design of DITEN is devised, including the DT modeling/updating, DT deployment, key issues, and enabling technologies. Then, the typical applications of DITEN towards 6G are provided, including the Internet of Things (IoT), vehicular network, spaceair-groud integrated network (SAGIN), healthcare, wireless systems, and other applications, along with the design of DITEN in each application, such as DT modeling, DT association, incentive mechanisms, and so on. Finally, challenges and open issues are discussed.

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Section: A Conceptmentioning

confidence: 99%

Survey on Digital Twin Edge Networks (DITEN) Toward 6G

Tang

Chen

Rodrigues

et al. 2022

IEEE Open J. Commun. Soc.

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“…It has also been a major motivation of DT adoption in IoT/IIoT. Following this perspective, [4] employs a DT framework as a networking middleware to facilitate interaction between heterogeneous IoT devices using IP-based protocols of the framework for communication between DT models. The DT also supports deployment of different applications (or services) on the same IoT platform by controlling communication mechanisms suitable for the target application.…”

Section: Role Of Dt Technologymentioning

confidence: 99%

Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks

Jagannath

Ramezanpour

Jagannath

2022

Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning

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Digital twin (DT) technologies have emerged as a solution for realtime data-driven modeling of cyber physical systems (CPS) using the vast amount of data available by Internet of Things (IoT) networks. In this position paper, we elucidate unique characteristics and capabilities of a DT framework that enables realization of such promises as online learning of a physical environment, real-time monitoring of assets, Monte Carlo heuristic search for predictive prevention, on-policy, and off-policy reinforcement learning in real-time. We establish a conceptual layered architecture for a DT framework with decentralized implementation on cloud computing and enabled by artificial intelligence (AI) services for modeling and decision-making processes. The DT framework separates the control functions, deployed as a system of logically centralized process, from the physical devices under control, much like software-defined networking (SDN) in fifth generation (5G) wireless networks. To clarify the significance of DT in lowering the risk of development and deployment of innovative technologies on existing system, we discuss the application of implementing zero trust architecture (ZTA) as a necessary security framework in future data-driven communication networks.

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“…A 5G Digital Twin is presented in [20] to help developing and deploying 5G complex networks and permit cost-effective access to 5G knowing that deploying 5G networks is too expensive. In [31], an Application-driven Digital Twin Networking (ADTN) middleware is proposed in order to simplify the interaction with heterogeneous distributed industrial devices and dynamic management of network resources by adopting an application-level point of view. This architecture adopts an SDN-based cross-layer approach to dynamically orchestrate the industrial environment while taking into consideration Quality of Service (QoS) requirements and network configuration adaptation capabilities.…”

Section: Digital Twin Architecturesmentioning

confidence: 99%

When Digital Twin Meets Network Softwarization in the Industrial IoT: Real-Time Requirements Case Study

Kherbache

Maimour

Rondeau

2021

Sensors

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The Industrial Internet of Things (IIoT) is known to be a complex system because of its severe constraints as it controls critical applications. It is difficult to manage such networks and keep control of all the variables impacting their operation during their whole lifecycle. Meanwhile, Digital Twinning technology has been increasingly used to optimize the performances of industrial systems and has been ranked as one of the top ten most promising technological trends in the next decade. Many Digital Twins of industrial systems exist nowadays but only few are destined to networks. In this paper, we propose a holistic digital twinning architecture for the IIoT where the network is integrated along with the other industrial components of the system. To do so, the concept of Network Digital Twin is introduced. The main motivation is to permit a closed-loop network management across the whole network lifecycle, from the design to the service phase. Our architecture leverages the Software Defined Networking (SDN) paradigm as an expression of network softwarization. Mainly, the SDN controller allows for setting up the connection between each Digital Twin of the industrial system and its physical counterpart. We validate the feasibility of the proposed architecture in the process of choosing the most suitable communication mechanism that satisfies the real-time requirements of a Flexible Production System.

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Application-Driven Network-Aware Digital Twin Management in Industrial Edge Environments

Cited by 89 publications

References 36 publications

Survey on Digital Twin Edge Networks (DITEN) Toward 6G

Survey on Digital Twin Edge Networks (DITEN) Toward 6G

Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks

When Digital Twin Meets Network Softwarization in the Industrial IoT: Real-Time Requirements Case Study

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