Real-Time Multiplexing of Mixed-Criticality Data Streams for Automotive Multi-Core Test Systems

Historically, automotive test systems were designed
for a single core architecture. This, however, limited the
utilization of shared resources. In this paper we present a
redesign of an automotive test system that is based on a multi-
core architecture and capable of managing mixed-criticality
data. As part of the redesign, we implemented a Connectivity
Manager (CM) that is in charge of multiplexing several data streams from multiple cores across a shared network. Due to the increased complexity of our system, a more flexible scheduling approach is required. Our solution to this problem is a novel dynamic priority communication scheduling approach that adapts to bandwidth changes on the shared communication network. Through simulations with realistic workload, we prove the proper functioning of our algorithm with the result that higher critical data streams are favoured over less critical data streams in case of an overloaded system caused by a bottleneck on the CAN bus.