IntCanConfB
IntCanConfBJosé Rufino and Paulo Veríssimo.
http://pandora.ist.utl.pt/docs/pdf/ar/icc95cv.pdf
Abstract
The Controller Area Network (CAN) is a communication bus for message transaction in small-scale distributed environments. Continuity of service and bounded and known message delivery latency are requirements of a number of applications, which are not perfectly fulfilled by existing networks, CAN included.
One key issue with this regard, is that networks are subject to failures, namely partitions. However, most of non-critical applications can live with temporary glitches in network operation, provided these temporary partitions are time-bounded. We call these periods of inaccessibility, to differentiate from classical partitions. Should one call for hard real-time behaviour, a worst-case figure for these non-negligible periods should be derived and added to the worst-case transmission delay expected in the absence of faults. This paper does an exhaustive study of CAN inaccessibility characteristics, presenting figures for intervals in CAN operation when the network does not provide service, although not being failed.
Matthias Stümpfle, Joachim Charzinski University of Stuttgart Institute of Communications Switching and Data Technics Seidenstr. 36 70174 Stuttgart, Germany stuempfle/charzinski@ind.uni-stuttgart.d400.de
http://www.jcho.de/jc/Pubs/cia-95.pdf
Abstract
As today's systems are becoming more and more complex, simulation is often the only viable way to verify the functionality of a system, or to estimate its performance. Especially in time and money critical sections it is important to gain information about a designed system before any expensive hardware is to be implemented. Using an object oriented simulation framework eases the solving of this problem. Different CAN components were developed separately and are now available as a CAN part library. Complete and heterogeneous systems can now be simulated and evaluated by taking parts from the library and connecting them using the standardized interface from the simulation framework. Configuration of the simulation is supported by a simple to use description language. The gained results are presented in the last section. We use the SAE scenario to show how the simulation results can be used to dimension a CAN network.