On fault tolerance and worst-case response time analysis in CAN
Identifieur interne : 00B889 ( Main/Merge ); précédent : 00B888; suivant : 00B890On fault tolerance and worst-case response time analysis in CAN
Auteurs : Nicolas Navet ; Ye-Qiong SongSource :
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Abstract
In this paper we propose an error model following a generalized Poisson process and enabling us to consider both single and "bursty" transmission errors. We deal with the worst-case deadline failure probability (WCDFP) evaluation in CAN. Worst-case means that the message transmission takes the maximum possible time and each error introduces a retransmission with the maximum overhead. The motivation of this work is that, in practice, the number of errors occurring during a given time period can not always be bounded, especially in the applications we consider (CAN used as an in-vehicle network). A method for efficiently computing, for each message, the WCDFP is presented. This method is general in the sense that it enables us to consider all possible burst-size distributions. We applied our analysis to an industrial case-study to estimate its reliability.
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<author><name sortKey="Song, Ye Qiong" sort="Song, Ye Qiong" uniqKey="Song Y" first="Ye-Qiong" last="Song">Ye-Qiong Song</name>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>CAN</term>
<term>distributed systems</term>
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<term>reliability</term>
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<front><div type="abstract" xml:lang="en" wicri:score="1840">In this paper we propose an error model following a generalized Poisson process and enabling us to consider both single and "bursty" transmission errors. We deal with the worst-case deadline failure probability (WCDFP) evaluation in CAN. Worst-case means that the message transmission takes the maximum possible time and each error introduces a retransmission with the maximum overhead. The motivation of this work is that, in practice, the number of errors occurring during a given time period can not always be bounded, especially in the applications we consider (CAN used as an in-vehicle network). A method for efficiently computing, for each message, the WCDFP is presented. This method is general in the sense that it enables us to consider all possible burst-size distributions. We applied our analysis to an industrial case-study to estimate its reliability.</div>
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