Abstract

Real-time applications distributed over the CAN network are characterized by stringent temporal and dependability constraints. Our goal is to take account of transmission errors in the design of real-time distributed applications because in practice the consequences of such disturbances are potentially disastrous. In the paper, we propose, on the one hand, a method for computing for each message the tolerable threshold of transmission errors guaranteeing the timing constraints to be met. On the other hand, we also suggest an error model enabling us to consider both error frequency and error gravity. Our error model follows a generalized poisson process and its stochastic parameters have been derived. The analysis has been applied to an industrial case-study to compute the probability that the deadlines will be respected.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.