In this paper, we provide first results introducing the impact of both software and hardware events on the estimation of worst-case energy consumption of programs on embedded processors. We build a framework to better understand the representativeness of measurements with respect to both software and hardware events. We test this framework on execution times and energy consumption data for 5 existing benchmarks as a step towards a statistical worst-case energy consumption model.

The real-time systems community is facing the lack of benchmarks adapted to measurement-based worst-case execution time (WCET) estimators. We provide in this paper first steps towards such benchmarks by proposing them for single core microcontrollers, while we leave as future work the migration to multicore microcontrollers. The considered benchmarks are the programs of an open source drone autopilot. We conclude the paper by underlining the main difficulties of such migration.

Measurement-based Worst Case Execution Time (WCET) estimations require appropriate benchmarks that are composed both by programs and representative measurement protocols. The representativeness is defined with respect to both the programs and processors executing them. In this paper we consider the representativeness with respect to a multicore processor and we provide preliminary conclusions on how appropriate benchmarks could be proposed.