When Is CAN the Weakest Link? A Bound on Failures-in-Time in CAN-Based Real-Time Systems

A. Gujarati, Björn B. Brandenburg
{"title":"When Is CAN the Weakest Link? A Bound on Failures-in-Time in CAN-Based Real-Time Systems","authors":"A. Gujarati, Björn B. Brandenburg","doi":"10.1109/RTSS.2015.31","DOIUrl":null,"url":null,"abstract":"A method to bound the Failures In Time (FIT) rate of a CAN-based real-time system, i.e., the expected number of failures in one billion operating hours, is proposed. The method leverages an analysis, derived in the paper, of the probability of a correct and timely message transmission despite host and network failures due to electromagnetic interference (EMI). For a given workload, the derived FIT rate can be used to find an optimal replication factor, which is demonstrated with a case study based on a message set taken from a simple mobile robot.","PeriodicalId":239882,"journal":{"name":"2015 IEEE Real-Time Systems Symposium","volume":"146 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Real-Time Systems Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTSS.2015.31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

A method to bound the Failures In Time (FIT) rate of a CAN-based real-time system, i.e., the expected number of failures in one billion operating hours, is proposed. The method leverages an analysis, derived in the paper, of the probability of a correct and timely message transmission despite host and network failures due to electromagnetic interference (EMI). For a given workload, the derived FIT rate can be used to find an optimal replication factor, which is demonstrated with a case study based on a message set taken from a simple mobile robot.
什么时候是最薄弱的环节?基于can的实时系统的时间故障边界
提出了一种约束基于can的实时系统的FIT (failure In Time)率的方法,即十亿运行小时内的预期故障数。该方法利用了文中导出的一种分析方法,即在主机和网络由于电磁干扰(EMI)而发生故障的情况下,正确及时地传输消息的概率。对于给定的工作负载,可以使用导出的FIT率来查找最佳复制因子,通过基于从简单移动机器人获取的消息集的案例研究来演示这一点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信