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On fault tolerance and worst-case response time analysis in CAN

Identifieur interne : 00B889 ( Main/Merge ); précédent : 00B888; suivant : 00B890

On fault tolerance and worst-case response time analysis in CAN

Auteurs : Nicolas Navet ; Ye-Qiong Song

Source :

RBID : CRIN:navet98d

English descriptors

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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CRIN:navet98d

Le document en format XML

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<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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   |texte=   On fault tolerance and worst-case response time analysis in CAN
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