Methodology for predicting the energy consumption of SPMD application on virtualized environments

Over the last decade, the computing clusters have been updated in order to satisfy the increasing demand of greater computational power for running applications. However, this increasing is transformed in more system en- ergy consumption, which results in financial, environmental and in some cases...

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Detalles Bibliográficos
Autores principales:	Balladini, Javier, Muresano, Ronal, Suppi, Remo, Rexachs del Rosario, Dolores, Luque Fadón, Emilio
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2013
Materias:	Ciencias Informáticas performance energy EDP prediction virtualization
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/34507 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Dec13-4.pdf
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-34507
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas performance energy EDP prediction virtualization
spellingShingle	Ciencias Informáticas performance energy EDP prediction virtualization Balladini, Javier Muresano, Ronal Suppi, Remo Rexachs del Rosario, Dolores Luque Fadón, Emilio Methodology for predicting the energy consumption of SPMD application on virtualized environments
topic_facet	Ciencias Informáticas performance energy EDP prediction virtualization
description	Over the last decade, the computing clusters have been updated in order to satisfy the increasing demand of greater computational power for running applications. However, this increasing is transformed in more system en- ergy consumption, which results in financial, environmental and in some cases with social consequences. Hence, the ideal is to achieve an scenario that allows the system admin- istrator to find a trade-off between time and energy-efficiency for parallel algorithms on virtualized environments. The main objective of this work is based on developing an analytical model to predict the energy consumption and energy delay product (EDP) for SPMD applications on virtual environments. The SPMD applications selected are designed through a message passing interface (MPI) library with high communication volumes, which can generate im- balance issues that affect seriously the execution time and also the energy-efficiency. Our method is composed by four phases (characterization, tile distribution model, mapping and scheduling). This method has been validated using scientific applications and we observe that the minimum Energy and EDP values are located close to the values calculated with our analytical model with an error rate between 4% and 9%.
format	Articulo Articulo
author	Balladini, Javier Muresano, Ronal Suppi, Remo Rexachs del Rosario, Dolores Luque Fadón, Emilio
author_facet	Balladini, Javier Muresano, Ronal Suppi, Remo Rexachs del Rosario, Dolores Luque Fadón, Emilio
author_sort	Balladini, Javier
title	Methodology for predicting the energy consumption of SPMD application on virtualized environments
title_short	Methodology for predicting the energy consumption of SPMD application on virtualized environments
title_full	Methodology for predicting the energy consumption of SPMD application on virtualized environments
title_fullStr	Methodology for predicting the energy consumption of SPMD application on virtualized environments
title_full_unstemmed	Methodology for predicting the energy consumption of SPMD application on virtualized environments
title_sort	methodology for predicting the energy consumption of spmd application on virtualized environments
publishDate	2013
url	http://sedici.unlp.edu.ar/handle/10915/34507 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Dec13-4.pdf
work_keys_str_mv	AT balladinijavier methodologyforpredictingtheenergyconsumptionofspmdapplicationonvirtualizedenvironments AT muresanoronal methodologyforpredictingtheenergyconsumptionofspmdapplicationonvirtualizedenvironments AT suppiremo methodologyforpredictingtheenergyconsumptionofspmdapplicationonvirtualizedenvironments AT rexachsdelrosariodolores methodologyforpredictingtheenergyconsumptionofspmdapplicationonvirtualizedenvironments AT luquefadonemilio methodologyforpredictingtheenergyconsumptionofspmdapplicationonvirtualizedenvironments
bdutipo_str	Repositorios
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Methodology for predicting the energy consumption of SPMD application on virtualized environments

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