Modular Energy Modeling using Energy/Utility

Abstract

The modeling of the relationship between power usage and performance for complex computing systems is challenging due to the vast amount of tunable parameters that influence both metrics. To simplify the energy management of information systems from individual embedded machines to whole data centers we use a modular, hierarchical concept called Energy/Utility to model individual parts of a system. We present first results that show the decomposition of an individual asymmetric multi-processing system into hardware and software models. We show that using the Energy/Utility approach these models can stay manageable reducing total benchmark running time and modeling overhead while providing sufficiently high precision for performance and energy usage prediction.