Energy awareness in the ICT has become an important issue. Focusing on software, recent work suggested the existence of a relationship between power consumption, software configuration and usage patterns in computer systems. The aim of this work was collecting and analysing power consumption data of general-purpose computer systems, simulating common usage scenarios, in order to extract a power consumption profile for each scenario. We selected two desktop systems of different generations as test machines. Meanwhile, we developed 11 usage scenarios, and conducted several test runs of them, collecting power consumption data by means of a power meter. Our analysis resulted in an estimation of a power consumption value for each scenario and software application used, obtaining that each single scenario introduced an overhead from 2 to 11 Watts, which corresponds to a percentage increase that can reach up to 20% on recent and more powerful systems. We determined that software and its usage patterns impact consistently on the power consumption of computer systems. Further work will be devoted to evaluate how power consumption is affected by the usage of specific system resources.

Energy Efficiency in the ICT - Profiling Power Consumption in Desktop Computer Systems / Procaccianti, Giuseppe; Ardito, Luca; Vetro', Antonio; Morisio, Maurizio. - STAMPA. - (2012), pp. 353-372. [10.5772/48237]

Energy Efficiency in the ICT - Profiling Power Consumption in Desktop Computer Systems

PROCACCIANTI, GIUSEPPE;ARDITO, LUCA;VETRO', ANTONIO;MORISIO, MAURIZIO
2012

Abstract

Energy awareness in the ICT has become an important issue. Focusing on software, recent work suggested the existence of a relationship between power consumption, software configuration and usage patterns in computer systems. The aim of this work was collecting and analysing power consumption data of general-purpose computer systems, simulating common usage scenarios, in order to extract a power consumption profile for each scenario. We selected two desktop systems of different generations as test machines. Meanwhile, we developed 11 usage scenarios, and conducted several test runs of them, collecting power consumption data by means of a power meter. Our analysis resulted in an estimation of a power consumption value for each scenario and software application used, obtaining that each single scenario introduced an overhead from 2 to 11 Watts, which corresponds to a percentage increase that can reach up to 20% on recent and more powerful systems. We determined that software and its usage patterns impact consistently on the power consumption of computer systems. Further work will be devoted to evaluate how power consumption is affected by the usage of specific system resources.
9789535108009
Energy Efficiency - The Innovative Ways for Smart Energy, the Future Towards Modern Utilities
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2502197
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