Towards Customizable CPS: Composability, Efficiency and Predictability

Yi, Wang

doi:10.1007/978-3-319-68690-5_1

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Models Mirroring the Car1

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2019

2022

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Cited by 4 publications

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“…• Reconfiguration (see e.g., [19] for work on model support in this context) of software at runtime (during the operation of a car). This means, that we answer the question which application software component should run on which ECU.…”

Section: Models Mirroring the Carmentioning

confidence: 99%

Towards Digital Twins for the Description of Automotive Software Systems

Blech

2020

Electron. Proc. Theor. Comput. Sci.

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We present models for automotive software that capture quantitative and qualitative aspects of software systems and the underlying hardware architecture. In particular, we consider different levels of computing power. These range from controllers up to the cloud. We present a modeling approach for software deployment taking different automotive requirements such as criticality, latency, memory, computational resources, and communication into account. Our models capture automotive software and hardware system configurations and can serve as digital twins that are digital counterparts of (usually) physical entities. Furthermore, we highlight connected research areas and challenges.

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Section: Models Mirroring the Carmentioning

confidence: 99%