Context: Multiple types of processing units (eg, CPUs, GPUs and FPGAs) can be used jointly
to achieve better performance in computational systems. However, these units are built with …

The underlying infrastructure paradigms behind the novel usage scenarios and services are
becoming increasingly complex—from everyday life in smart cities to industrial …

Automotive systems provide sophisticated functionality and are controlled by networked
electronic control units (ECUs). Nowadays, software engineers use component-based …

The software component allocation problem is concerned with mapping a set of software
components to the computational units available in a heterogeneous computing system …

Cyber-physical systems (CPSs) provide sophisticated functionality and are controlled by
networked electronic control units (ECUs). Nowadays, software engineers use component …

Solving scheduling problems is important for a wide range of application domains including
home care in the health care domain, allocation engineering in the automotive domain, and …

Software-to-hardware allocation plays an important role in the development of resource-
constrained automotive embedded systems that are required to meet timing, reliability and …

Allocation of software components on a heterogeneous computing platform involves hard
decisions; handling different types of computing units with specific processing paradigms …

Growing software complexity is an increasing challenge for the software development of
modern cyber-physical systems. A classical strategy for taming this complexity is to partition …

Safety critical systems require rising dependability due to increasing autonomy. Fault-
tolerance is necessary, but failures may cause system resources to become insufficient to …