Abstract
In recent years, connected and autonomous functions have been bringing revolutionary advancement to automotive systems, but also making automotive design more complex than ever. Beyond individual vehicles, such trend also has deep impact on the entire vehicular transportation system, including vehicles, roadside units, and edge or cloud servers. In this chapter, we will introduce the application of the platform-based design (PBD) paradigm for automotive and transportation systems, and demonstrate its effectiveness in tackling cross-layer challenges in those systems. We will present our PBD-based approaches in addressing a variety of system metrics such as safety, security, performance, extensibility, and fault tolerance, and also discuss general system design and analysis methodologies.
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Notes
- 1.
Some existing OS hypervisors allow one partition to be assigned to more than one operating system, and those operating systems are scheduled by their priorities. This can be generalized to the system model by defining task priority as a 2-tuple.
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Acknowledgements
We gratefully acknowledge the support from the National Science Foundation of the United States under Awards 1834324, 1834701, and 1839511, the Ministry of Education in Taiwan under Grant Number NTU-107V0901, and the Ministry of Science and Technology in Taiwan under Grant Number MOST-108-2636-E-002-011.
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Lin, CW., Zheng, B., Liang, H., Zhu, Q. (2019). Platform-Based Design for Automotive and Transportation Cyber-Physical Systems. In: Al Faruque, M., Canedo, A. (eds) Design Automation of Cyber-Physical Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-13050-3_2
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