  We present models for automotive software that capture quantitative and
qualitative aspects of software systems and the underlying hardware
architecture. In particular, we consider different levels of computing power.
These range from controllers up to the cloud. We present a modeling approach
for software deployment taking different automotive requirements such as
criticality, latency, memory, computational resources, and communication into
account. Our models capture automotive software and hardware system
configurations and can serve as digital twins that are digital counterparts of
(usually) physical entities. Furthermore, we highlight connected research areas
and challenges.
