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Towards Dynamic Model-Based Agile Architecting of Cyber-Physical Systems
Alexander Vodyaho1, Nataly Zhukova2, Alexey Subbotin1
1Department of Computer Science and Engineering, Saint-Petersburg State Electrotechnical University, 197376 St. Petersburg, Russia.
This study introduces a model-based approach for architecting large-scale distributed systems using dynamic digital twins. This method integrates digital twins, evolutionary, and agile architecture principles to enhance system agility during exploitation and modernization.
Area of Science:
- Computer Science
- Systems Engineering
Background:
- Large-scale distributed systems require robust architecting methodologies.
- Existing paradigms like digital twins and agile architecture offer partial solutions.
- Integrating these paradigms can address complex system development challenges.
Purpose of the Study:
- To propose a novel model-based approach for architecting large-scale distributed systems.
- To leverage dynamic digital twins as a core component of the proposed architecture.
- To integrate principles of digital twins, evolutionary architecture, and agile architecture.
Main Methods:
- Development of a three-level digital thread reference architecture.
- Implementation of dynamic digital twins for system modeling and simulation.
- Integration of digital thread, agile architecture, and digital shadow concepts.
Main Results:
- The proposed approach effectively supports system agility in exploitation and modernization phases.
- Demonstrated effectiveness through application in the development of several real-world systems.
- Successful integration of digital twins, evolutionary, and agile architecture paradigms.
Conclusions:
- The digital twin-based approach offers a viable solution for architecting complex distributed systems.
- The three-level digital thread reference architecture provides a structured framework for implementation.
- This approach is particularly relevant for Internet of Things (IoT) and Industrial Internet of Things (IIoT) information systems.
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