@inproceedings{5f02374ce56c425ca5d3654926f05ace,
title = "Multi-Core ECU Load-Reducing Method using Time-Division Processing",
abstract = "Vehicle network systems are becoming increasingly complex by considering all the surrounding environmental factors necessary for driving. As a result, the number of electronic control units and data processing required in the vehicle is increasing, and the risk of falling into an overload state greatly increases. Most scheduling algorithms to process tasks cannot perform well under overload. Even one device can significantly impact the entire system if it causes performance problems. Therefore, providing a load control method for each device is one of the most important tasks. Simply controlling the load by reducing traffic has not been a good solution, and more efficient ways to control the load on the device are required. In this paper, we propose a method for integrating duplicate tasks and reducing the load while complying with thresholds through multi-core-based time-division processing.",
keywords = "Load-Reducing, Multi-core ECU, Time-Division Processing",
author = "Kim, \{Jong Hun\} and Do, \{Young Soo\} and Kim, \{Min Ho\} and Jeon, \{Jae Wook\}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023 ; Conference date: 03-01-2023 Through 05-01-2023",
year = "2023",
doi = "10.1109/IMCOM56909.2023.10035635",
language = "English",
series = "Proceedings of the 2023 17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Sukhan Lee and Hyunseung Choo and Roslan Ismail",
booktitle = "Proceedings of the 2023 17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023",
}