{"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.
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。
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