Power Measurement Methods for Energy Efficient Applications
Energy consumption constraints on computing systems are more important than ever. Maintenance costs for high performance systems are limiting the applicability of processing devices with large dissipation power. New solutions are needed to increase both the computation capability and the power effic...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
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MDPI AG
2013-06-01
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Series: | Sensors |
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Online Access: | http://www.mdpi.com/1424-8220/13/6/7786 |
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author | F. Javier Toledo-Moreo Pedro Revenga José L. Lázaro Ignacio Bravo Alfredo Gardel Guilherme Calandrini |
author_facet | F. Javier Toledo-Moreo Pedro Revenga José L. Lázaro Ignacio Bravo Alfredo Gardel Guilherme Calandrini |
author_sort | F. Javier Toledo-Moreo |
collection | DOAJ |
description | Energy consumption constraints on computing systems are more important than ever. Maintenance costs for high performance systems are limiting the applicability of processing devices with large dissipation power. New solutions are needed to increase both the computation capability and the power efficiency. Moreover, energy efficient applications should balance performance vs. consumption. Therefore power data of components are important. This work presents the most remarkable alternatives to measure the power consumption of different types of computing systems, describing the advantages and limitations of available power measurement systems. Finally, a methodology is proposed to select the right power consumption measurement system taking into account precision of the measure, scalability and controllability of the acquisition system. |
first_indexed | 2024-04-11T12:47:21Z |
format | Article |
id | doaj.art-47c9441f47f245879cc9ce36ac117e92 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-11T12:47:21Z |
publishDate | 2013-06-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-47c9441f47f245879cc9ce36ac117e922022-12-22T04:23:18ZengMDPI AGSensors1424-82202013-06-011367786779610.3390/s130607786Power Measurement Methods for Energy Efficient ApplicationsF. Javier Toledo-MoreoPedro RevengaJosé L. LázaroIgnacio BravoAlfredo GardelGuilherme CalandriniEnergy consumption constraints on computing systems are more important than ever. Maintenance costs for high performance systems are limiting the applicability of processing devices with large dissipation power. New solutions are needed to increase both the computation capability and the power efficiency. Moreover, energy efficient applications should balance performance vs. consumption. Therefore power data of components are important. This work presents the most remarkable alternatives to measure the power consumption of different types of computing systems, describing the advantages and limitations of available power measurement systems. Finally, a methodology is proposed to select the right power consumption measurement system taking into account precision of the measure, scalability and controllability of the acquisition system.http://www.mdpi.com/1424-8220/13/6/7786power measurementenergy consumption profilingenergy efficiencyinstrumentationpower analysis |
spellingShingle | F. Javier Toledo-Moreo Pedro Revenga José L. Lázaro Ignacio Bravo Alfredo Gardel Guilherme Calandrini Power Measurement Methods for Energy Efficient Applications Sensors power measurement energy consumption profiling energy efficiency instrumentation power analysis |
title | Power Measurement Methods for Energy Efficient Applications |
title_full | Power Measurement Methods for Energy Efficient Applications |
title_fullStr | Power Measurement Methods for Energy Efficient Applications |
title_full_unstemmed | Power Measurement Methods for Energy Efficient Applications |
title_short | Power Measurement Methods for Energy Efficient Applications |
title_sort | power measurement methods for energy efficient applications |
topic | power measurement energy consumption profiling energy efficiency instrumentation power analysis |
url | http://www.mdpi.com/1424-8220/13/6/7786 |
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