Automotive control systems typically have latency
requirements for certain cause-effect chains. When implementing
and integrating these systems, these latency requirements must
be guaranteed e.g. by applying a worst-case analysis that takes all
indeterminism and limited predictability of the timing behaviour
into account. In this paper, we address the latency analysis
for multi-rate distributed cause-effect chains considering staticpriority
preemptive scheduling of offset-synchronised periodic
tasks. We particularly focus on data age as one representative of
the two most common latency semantics. Our main contribution
is an Mixed Integer Linear Program-based optimisation to select
design parameters (priorities, task-to-processor mapping, offsets)
that minimise the data age. In our experimental evaluation, we
apply our method to two real-world automotive use cases