Response Time Analysis of An Automotive Use-Case Based Two-Level Mixed Criticality System

Tianyu Wang, Yuan Zou*, Xudong Zhang, Ziyan Wu, Zhijia Cai, Yiwei Zhang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The evolution of information technology and the tendency of more functionality-centralized controllers has made it possible to schedule tasks with different criticality within the same computing platform on automotives. Unfortunately, a huge gap still remains between academic study of the mixed criticality system and automotive practice. To address the issues when applying the traditionally popular mixed criticality models to practice, an automotive use-case mixed criticality model is proposed. By adopting response time analysis of fixed priority scheduling technique, an implementation of AUB-MCS is accomplished and effectiveness are proved with schedulability test evaluation.

Original languageEnglish
Title of host publication2023 8th International Conference on Intelligent Computing and Signal Processing, ICSP 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages320-323
Number of pages4
ISBN (Electronic)9798350302455
DOIs
Publication statusPublished - 2023
Event8th International Conference on Intelligent Computing and Signal Processing, ICSP 2023 - Hybrid, Xi�an, China
Duration: 21 Apr 202323 Apr 2023

Publication series

Name2023 8th International Conference on Intelligent Computing and Signal Processing, ICSP 2023

Conference

Conference8th International Conference on Intelligent Computing and Signal Processing, ICSP 2023
Country/TerritoryChina
CityHybrid, Xi�an
Period21/04/2323/04/23

Keywords

  • automotive
  • mixed criticality system
  • scheduling scheme

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