A Multi-Model Approach for Simulation-Based Digital Twin in Resilient Services

Author:

Lektauers Arnis1,Pecerska Jelena1,Bolsakovs Vitalijs1,Romanovs Andrejs1,Grabis Janis2,Teilans Artis3

Affiliation:

1. Department of Modelling and Simulation, Riga Technical University, Kalku Street 1, Riga, Latvia

2. Department of Management Information Technology, Riga Technical University, Kalku Street 1, Riga, Latvia

3. Rezekne Academy of Technologies Atbrīvošanas Aleja 115, Rezekne, Latvia

Abstract

Complex cyber-physical systems demand integrated solution approaches. The current work presents a multi-model approach for simulation-based digital twins as a formal and technological foundation for the analysis and improvement of resilient services. The given approach has several significant benefits including the possibility to conduct interactive simulations and experiments based on systems engineering principles, to share data across multiple data sources and storages, to manage operations in real-time, as well as to enable collaboration between the users in an integrated web platform. The proposal is illustrated on the use cases of secure telemedicine services and secure remote workplace.

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

Subject

Artificial Intelligence,General Mathematics,Control and Systems Engineering

Reference31 articles.

1. A. Hughes, Forging the digital twin in discrete manufacturing: a vision for unity in the virtual and real worlds. LNS Research, 2018.

2. M. Grieves, “Origins of the Digital Twin Concept,” 2016. doi: 10.13140/RG.2.2.26367.61609.

3. J. Banks, J. II Carson, B. Nelson, and D. Nicol, Discrete-Event System Simulation, 5th ed. Pearson, 2010.

4. J. D. Sterman, Business dynamics : systems thinking and modeling for a complex world. Boston: Irwin/McGraw-Hill, 2000.

5. RTU, “ARTSS: Advanced Resilience Technologies for Secure Services,” 2020. https://www.rtu.lv/en/university/rtu-projects/open?project_number=4356.

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