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

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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 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.
Original languageEnglish
Title of host publication2017 IEEE International Conference on Vehicular Electronics and Safety (ICVES)
Pages220-227
Number of pages8
ISBN (Electronic) 978-1-5090-5677-4
DOIs
Publication statusPublished - 27 Jun 2017
Event2017 IEEE INTERNATIONAL CONFERENCE ON VEHICULAR ELECTRONICS AND SAFETY - Vienna, Austria
Duration: 27 Jun 201728 Jun 2017
http://www.ieee-icves2017.org/

Conference

Conference2017 IEEE INTERNATIONAL CONFERENCE ON VEHICULAR ELECTRONICS AND SAFETY
Abbreviated titleICVES
CountryAustria
CityVienna
Period27/06/1728/06/17
Internet address

Fields of Expertise

  • Information, Communication & Computing

Cite this

Nager, M., Baunach, M. C., Priller, P., & Macher, G. F. H. (2017). Real-Time Multiplexing of Mixed-Criticality Data Streams for Automotive Multi-Core Test Systems. In 2017 IEEE International Conference on Vehicular Electronics and Safety (ICVES) (pp. 220-227) https://doi.org/10.1109/ICVES.2017.7991929