ICT-ENSURE Information System on Literature in the Field of ICT for Environmental Sustainability

ICT-ENSURE Information System on Literature in the Field of ICT for Environmental Sustainability ICT-ENSURE Information System on Literature in the Field of ICT for Environmental Sustainability European Commission European Commission CORDIS Seventh Framework Programme KIT - Karlsruhe Institute of Technology Graz University of Technology, Knowledge Management Institute International Society for Environmental Protection
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Measurement and Rating of Software-induced Energy Consumption of Desktop PCs and Servers

Authors
Dick, Markus (Trier University of Applied Sciences, Subsidiary Umwelt-Campus Birkenfeld)
Search for Markus Dick in Research Programmes Information System
Kern, Eva (Trier University of Applied Sciences, Subsidiary Umwelt-Campus Birkenfeld)
Search for Eva Kern in Research Programmes Information System
Drangmeister, Jakob (Trier University of Applied Sciences, Subsidiary Umwelt-Campus Birkenfeld)
Search for Jakob Drangmeister in Research Programmes Information System
Naumann, Stefan (Trier University of Applied Sciences, Subsidiary Umwelt-Campus Birkenfeld)
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Johann, Timo (Trier University of Applied Sciences, Subsidiary Umwelt-Campus Birkenfeld)
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Chapter Energy Efficiency and Reserach
Volume Innovations in Sharing Environmental Observations and Information (Part 1)
Conference Innovations in Sharing - Environmental Observations and Information
Ispra, 2011
Year 2011
Abstract of the Article
Up to now, the power consumption of ICT is still increasing. However, it is not clear whether or not energy savings through ICT overcompensate this increasing energy consumption. There are manifold efforts of Green IT addressing energy efficiency of computer hardware, but there is a lack of models, descriptions, or realizations in the field of computer software. In our paper, we present a method to measure and rate software-induced energy consumption of stand-alone applications on desktop computers as well as interactive transaction-based applications on servers. In both cases, realistic workloads are applied. Our test rig contains the tested system, an appropriate power meter, a workload generator, and a data evaluation system. Our measurement method is intended to support software developers, purchasers, administrators, and users in making informed decisions on software architecture and implementation as well as on software products they use or plan to use. As a proof of concept, we will describe two exemplary measurements that show the influence of software use on power consumption.
Pages 290 - 299
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