A framework for Model-Driven Engineering of resilient software-controlled systems
| Autor: | Fulvio Patara, Jacopo Parri, Enrico Vicario, Samuele Sampietro |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Process (engineering) Computer science 02 engineering and technology computer.software_genre Theoretical Computer Science 020901 industrial engineering & automation Systems Modeling Language 0202 electrical engineering electronic engineering information engineering Adaptation (computer science) computer.programming_language System of systems Numerical Analysis business.industry 020207 software engineering Functional requirement computer.file_format Computer Science Applications Software framework Computational Mathematics Computational Theory and Mathematics Executable Model-driven architecture Software engineering business computer Software |
| Zdroj: | Computing. 103:589-612 |
| ISSN: | 1436-5057 0010-485X |
| Popis: | Emergent paradigms of Industry 4.0 and Industrial Internet of Things expect cyber-physical systems to reliably provide services overcoming disruptions in operative conditions and adapting to changes in architectural and functional requirements. In this paper, we describe a hardware/software framework supporting operation and maintenance of software-controlled systems enhancing resilience by promoting a Model-Driven Engineering (MDE) process to automatically derive structural configurations and failure models from reliability artifacts. Specifically, a reflective architecture developed around digital twins enables representation and control of system Configuration Items properly derived from SysML Block Definition Diagrams, providing support for variation. Besides, a plurality of distributed analytic agents for qualitative evaluation over executable failure models empowers the system with runtime self-assessment and dynamic adaptation capabilities. We describe the framework architecture outlining roles and responsibilities in a System of Systems perspective, providing salient design traits about digital twins and data analytic agents for failure propagation modeling and analysis. We discuss a prototype implementation following the MDE approach, highlighting self-recovery and self-adaptation properties on a real cyber-physical system for vehicle access control to Limited Traffic Zones. |
| Databáze: | OpenAIRE |
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