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

Markus Nager1, Marcel Baunach2, Peter Priller1, Jürgen Wurzinger1

  • 1AVL List GmbH
  • 2Graz University of Technology

Details

Category

Regular Paper

Sessions

16:10 - 17:58 | Wed 28 Jun | | WeDPl

Naturalistic Driving and Data Mining

Full Text

Abstract

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 multicore 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 workloads, 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.

Additional Information

No information added

Video

No videos found