Abstract

Efficient energy management of computing infrastructure has been shown to reduce the operational

expenses of enterprises as well as contribute in reducing the carbon foot-print of the organization. Various

studies have proposed methods to reduce the energy consumption of computing devices at server farms,

commercial offices and in consumer households. However, a system that impacts the habits of

consumers requires rigorous inspection. From our previous experiences, we found that most of the

techniques used in evaluating the response of devices to efficient energy management strategies fall short

of representing the actual consumption. This has severe consequences for utilization and adaptation of

efficiency measures. To this end in this paper we propose a unique simulation framework which accurately

represents the consumption habits of the computing devices and, as our results show, provide a more

realistic picture of the impact of efficiency measures both on consumer impact and on efficiency response.