Authors:
Jennifer Brings
1
;
Marian Daun
1
;
Constantin Hildebrandt
2
and
Sebastian Törsleff
2
Affiliations:
1
University of Duisburg-Essen, Germany
;
2
Helmut-Schmidt-University, Germany
Keyword(s):
Cyber-physical Systems, Collaborative Systems, Context, Context Modeling, Dynamic Context.
Related
Ontology
Subjects/Areas/Topics:
Frameworks for Model-Driven Development
;
Methodologies, Processes and Platforms
;
Model-Driven Software Development
;
Software Engineering
;
Systems Engineering
Abstract:
Cyber-physical systems are highly collaborative by nature. At runtime these systems collaborate with each other to achieve goals that a single system could not achieve on its own. For example, autonomous vehicles can dynamically form convoys at runtime to facilitate higher traffic throughput and a reduction in CO2 emissions. While the importance of context documentation and analysis in system development is well known, current model-based engineering approaches struggle with the size and complexity of cyber-physical systems’ contexts. This is due to high variety and dynamicity of the contexts to be considered. For example, a convoy to be formed at runtime may consist of different numbers of participating vehicles. Additionally, it may face different neighboring, not partaking context systems (e.g., non-equipped vehicles, equipped but not participating vehicles) and situations (e.g., speed limits, road construction sites, emergency vehicles). This paper proposes a context ontology to
cope with highly dynamic contexts of cyber-physical systems by explicitly differentiating between not only the system and its context but also between the cyber-physical system network the system participates in, as well as the system network’s context.
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