An analytical methodology to derive power models based on hardware and software metrics
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Otros documentos de la autoría: Dolz, Manuel F.; Kunkel, Julian; Chasapis, Konstantinos; Catalán, Sandra
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Título
An analytical methodology to derive power models based on hardware and software metricsFecha de publicación
2015-09Editor
Springer Berlin HeidelbergISSN
1865-2034; 1865-2042Cita bibliográfica
Dolz, M. F., Kunkel, J., Chasapis, K., & Catalán, S. (2016). An analytical methodology to derive power models based on hardware and software metrics. Computer Science-Research and Development, 31(4), 165-174.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://link.springer.com/article/10.1007/s00450-015-0298-8#Palabras clave / Materias
Resumen
The use of models to predict the power con-
sumption of a system is an appealing alternative to
wattmeters since they avoid hardware costs and are
easy to deploy. In this paper, we present a system ... [+]
The use of models to predict the power con-
sumption of a system is an appealing alternative to
wattmeters since they avoid hardware costs and are
easy to deploy. In this paper, we present a systematic
methodology to build models with a reduced number
of features in order to estimate power consumption at
node level. We aim at building simple power models
by performing a per-component analysis (CPU, mem-
ory, network, I/O) through the execution of four stan-
dard benchmarks. While they are executed, we collect
information from all the available hardware counters
and resource utilization metrics provided by the sys-
tem. Based on correlations among the recorded metrics
and their correlation with the instantaneous power, our
methodology allows
i)
to identify the significant met-
rics; and
ii)
to assign weights to the selected metrics in
order to derive reduced models. The reduction also aims
at extracting models that are based on a set of hardware
counters and utilization metrics that can be obtained
simultaneously and, thus, can be gathered and com-
puted on-line. The utility of our procedure is validated
using real-life applications on an Intel Sandy Bridge architecture. [-]
Publicado en
Computer Science - Research and Development, 2016, vol. 31, núm. 4Derechos de acceso
© Springer-Verlag Berlin Heidelberg 2015
© Springer International Publishing AG, Part of Springer Science+Business Media. "The final publication is available at Springer via http://dx.doi.org/10.1007/s00450-014-0267-7"
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info:eu-repo/semantics/openAccess
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info:eu-repo/semantics/openAccess
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