Analysis of real-time scheduling algorithms under overload conditions in a multi-core ECU

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

Abstract

As a vehicle's software functionality increases, the number of ECUs required also increases. The addition of more ECUs to a vehicle is not a beneficial modification from a multitude of perspectives, including financial, operational, and environmental. One possible method for reducing the number of ECUs is to consolidate them using multi-core processors. In this paper, we apply representative real-time scheduling algorithms to a multi-core processor and analyze the stability of each algorithm when the ECU is overloaded. We also evaluate two methods for distributing tasks from a communication core to processing cores. One is based on odd and even priorities, and the other is a random, priority-independent distribution.

Original languageEnglish
Title of host publication2024 33rd International Symposium on Industrial Electronics, ISIE 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350394085
DOIs
StatePublished - 2024
Externally publishedYes
Event33rd International Symposium on Industrial Electronics, ISIE 2024 - Ulsan, Korea, Republic of
Duration: 18 Jun 202421 Jun 2024

Publication series

NameIEEE International Symposium on Industrial Electronics
ISSN (Print)2163-5137
ISSN (Electronic)2163-5145

Conference

Conference33rd International Symposium on Industrial Electronics, ISIE 2024
Country/TerritoryKorea, Republic of
CityUlsan
Period18/06/2421/06/24

Keywords

  • Multi-core ECU
  • Overload
  • Real-time scheduling

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