This paper presents a complete case study -named ROSACE for Research Open-Source Avionics and Control Engineering -that goes from a baseline flight controller, developed in MATLAB/SIMULINK, to a multi-periodic controller executing on a multi/many-core target. The interactions between control and computer engineers are highlighted during the development steps, in particular by investigating several multi-periodic configurations. We deduced ways to improve the discussion between engineers in order to ease the integration on the target. The whole case study is made available to the community under an open-source license.

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Mixed-criticality systems emerged with the aim of reconciling safety requirements and efficient use of multiprocessor or uniprocessor platforms. On multi-processors, recent works on mixed-criticality have produced impressive results in terms of speed-up factor. But these solutions, based on Pfairlike scheduling algorithms, entail too many preemptions and migrations to be effectively used in real systems. As RUN is an optimal scheduling algorithm that is known to limit this problem, we propose MxC-RUN, an adaptation of RUN to mixedcriticality systems. We redefine RUN's primal servers as modal servers that allocate the overestimated time budget of their higher criticality tasks to execute lower criticality ones. These servers can be handled by RUN without any modification and preserve its performances in terms of preemptions and migrations. MxC-RUN earns a speed-up factor smaller than other multi-processors EDF-based mixed-criticality scheduling algorithms.