Comparing Communication Paradigms in Cause-Effect Chains

A cause-effect chain is a sequence of multi-rate real-time tasks with data dependency. Cause-effect chains are generally subject to end-to-end timing constraints, especially in safety-critical systems. Communication paradigms greatly affect the end-to-end latency of cause-effect chains. This paper compares different communication paradigms (implicit communication, LET, DBP) with regards to the end-to-end latency of cause-effect chains using them, and proposes priority assignment strategies to optimize the end-to-end latency with specific communication paradigm. Experiments with synthesized data based on an automotive benchmark and randomly generated parameters are conducted to evaluate our results.

Automated summary

This paper investigates the application of cause-effect chains in real-time systems and their impact on communication paradigms. It compares different communication paradigms in terms of the end-to-end latency of cause-effect chains and proposes priority assignment strategies to optimize the latency with specific communication paradigms. Experiments are conducted with synthesized data based on an automotive benchmark and randomly generated parameters to evaluate the results.