Energy Characterization and Classification of Embedded Operating System Services

Abstract

This paper presents an energy estimation approach for embedded low power operating systems (OS). The methodology consists in characterizing and estimating energy and power overheads of a set of embedded OS basic services : scheduling, context switch and inter-process communication. We analyze the impact of hardware and software parameters like processor frequency and scheduling policy on the energy consumption. Then, energy and power models are extracted and the OS energy overhead of H264 application is estimated using the STORM tool. For the measurement setup, the hardware platform used is OMAP35x EVM board running Linux omap as operating system.