Towards Digital Twin-enabled DevOps for CPS providing Architecture-Based Service Adaptation & Verification at Runtime
J\"urgen Dobaj, Andreas Riel, Thomas Krug, Matthias Seidl, Georg, Macher, Markus Egretzberger

TL;DR
This paper introduces a Digital Twin-enabled DevOps approach for CPS-based IPSS, enabling continuous optimization, adaptation, and verification of services at runtime to reduce uncertainty and improve system integrity.
Contribution
It extends IT DevOps principles to Digital Twins in CPS IPSS, providing a detailed design for self-adaptive models and architecture-based service reconfiguration at runtime.
Findings
Achieved sub-millisecond cycle times during A/B testing
Validated the approach in a CPS environment without operational interference
Enabled real-time service adaptation and reconfiguration
Abstract
Industrial Product-Service Systems (IPSS) denote a service-oriented (SO) way of providing access to CPS capabilities. The design of such systems bears high risk due to uncertainty in requirements related to service function and behavior, operation environments, and evolving customer needs. Such risks and uncertainties are well known in the IT sector, where DevOps principles ensure continuous system improvement through reliable and frequent delivery processes. A modular and SO system architecture complements these processes to facilitate IT system adaptation and evolution. This work proposes a method to use and extend the Digital Twins (DTs) of IPSS assets for enabling the continuous optimization of CPS service delivery and the latter's adaptation to changing needs and environments. This reduces uncertainty during design and operations by assuring IPSS integrity and availability,…
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