Towards Digital Twin-enabled DevOps for CPS providing Architecture-Based Service Adaptation & Verification at Runtime

Jurgen Dobaj*, Andreas Riel, Thomas Krug, Matthias Seidl, Georg MacHer, Markus Egretzberger

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

Background: Industrial Product-Service Systems (IPSS) denote a service-oriented way of providing access to cyber-physical systems' (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 service-oriented system architecture complements these processes to facilitate IT system adaptation and evolution.Objective: 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, especially for design and service adaptations at CPS runtime.Methodology: The method builds on transferring IT DevOps principles to DT-enabled CPS IPSS. The chosen design approach integrates, reuses, and aligns the DT processing and communication resources with DevOps requirements derived from literature.Results: We use these requirements to propose a DT-enabled self-Adaptive CPS model, which guides the realization of DT-enabled DevOps in CPS IPSS. We further propose detailed design models for operation-critical DTs that integrate CPS closed-loop control and architecture-based CPS adaptation. This integrated approach enables the implementation of A/B testing as a use case and central concept to enable CPS IPSS service adaptation and reconfiguration.Conclusion: The self-Adaptive CPS model and DT design concept have been validated in an evaluation environment for operation-critical CPS IPSS. The demonstrator achieved sub-millisecond cycle times during service A/B testing at runtime without causing CPS operation interferences and downtime.

Original languageEnglish
Title of host publicationSEAMS '22: Proceedings of the 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems
PublisherAssociation of Computing Machinery
Pages132-143
Number of pages12
ISBN (Electronic)9781450393058
DOIs
Publication statusPublished - 2022
Event17th Symposium on Software Engineering for Adaptive and Self-Managing Systems: SEAMS 2022 - Pittsburgh, United States
Duration: 18 May 202220 May 2022

Conference

Conference17th Symposium on Software Engineering for Adaptive and Self-Managing Systems
Abbreviated titleSEAMS 2022
Country/TerritoryUnited States
CityPittsburgh
Period18/05/2220/05/22

Keywords

  • CPS
  • Deployment
  • DevOps
  • Digital Twin
  • IPSS
  • Self-Adaptation

ASJC Scopus subject areas

  • Information Systems
  • Software
  • Artificial Intelligence
  • Information Systems and Management
  • Control and Optimization

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