In this paper we address the challenges related to supporting modeland component-based development of predictable software for vehicular distributed embedded systems, utilizing multi-core platforms. We present a research plan for the development of new methods and techniques to deal with these challenges. The techniques will support various aspects such as modeling of the software architecture; supporting multiple criticality levels; verifying predictability of the system using end-to-end timing analysis; code generation; and providing a predictable runtime support on multi-core platforms by virtualizing a certified single-core real-time operating system. As a proof of concept, we will implement the newly developed techniques in a commercial tool chain (Rubus-ICE). The efficacy of the newly developed techniques and the extended tool chain will be demonstrated on the industrial case studies.
CITATION STYLE
Mubeen, S., Nolte, T., & Lundbäck, K. L. (2016). Developing predictable vehicular distributed embedded systems on multi-core. In Advances in Intelligent Systems and Computing (Vol. 448, pp. 1273–1277). Springer Verlag. https://doi.org/10.1007/978-3-319-32467-8_112
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