Modelo de análisis de variables de consumo energético para el procesamiento de datos en sistemas informáticos de alto rendimiento

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dc.contributor.authorLozoya Arandia, Jorge
dc.contributor.authorVega Gómez, Carlos Jesahel
dc.contributor.authorAcevedo Montoya, Lester Antonio
dc.contributor.authorRobles Dueñas, Verónica Lizette
dc.date.accessioned2024-09-19T20:33:03Z
dc.date.available2024-09-19T20:33:03Z
dc.date.issued2024-06-18
dc.description.abstractUno de los principales retos en la operación eficiente de un centro de cómputo de alto rendimiento (HPC) es el consumo energético que genera la operación del centro de datos donde se alojan los equipos HPC, principalmente porque este consumo se refleja en cuentas por pagar muy elevadas, pudiendo afectar el nivel de servicio ofrecido a los usuarios. El estudio de los diferentes factores y elementos que pueden hacer más eficiente el consumo energético en estos centros de datos proporciona una oportunidad para enfocar estos recursos en elementos que favorezcan el uso del HPC. Las variables de diseño proporcionadas por los fabricantes para gestionar los sistemas HPC y los sistemas de monitorización proporcionan una visión precisa del comportamiento de estas variables según su uso. Las arquitecturas HPC se configuran de forma muy particular para cada centro de datos HPC, creando escenarios particulares de operación y rendimiento en cada implementación. Se han desarrollado diversas propuestas y tecnologías para el análisis del consumo energético de un centro de datos, y los elementos de procesamiento incluyen una serie de indicadores y tecnologías que los fabricantes han desarrollado para determinar la eficiencia energética. Este artículo busca identificar esta serie de variables de procesamiento y desempeño, que afectan el consumo energético de los equipos HPC, para las arquitecturas de cómputo implementadas a partir del análisis de modelos de desempeño para obtener una visión general de su efecto sobre el consumo energético en un caso de estudio para identificar los comportamientos de factores particulares de asignación de trabajos y proporcionar un análisis del consumo energético bajo condiciones particulares.spa
dc.description.abstractenglishOne of the main challenges in the efficient operation of a high-performance computing (HPC) center is the energy consumption generated by the operation of the data center where the HPC equipment is housed, mainly because this consumption is reflected in very high accounts payable, and this may affect the level of service offered to users. The study of the different factors and elements that can make energy consumption more efficient in these data centers provides an opportunity to focus these resources on elements that favor the use of HPC. The design variables provided by manufacturers to manage HPC systems and monitoring systems provide an accurate view of the behavior of these variables according to how they are used. HPC architectures are configured in a very particular way for each HPC data center, creating particular scenarios of operation and performance in each implementation. Various proposals and technologies have been developed for the analysis of the energy consumption of a data center, and the processing elements include a series of indicators and technologies that manufacturers have developed to determine the energy efficiency. This article seeks to identify this series of processing and performance variables, which affect the energy consumption of HPC equipment, for the implemented computing architectures based on the analysis of performance models to obtain a general over-view of their effect on energy consumption in a case study to identify the behaviors of particular job assignment factors and provide an analysis of the energy consumption under particular conditions.eng
dc.format.mimetypeapplication/pdfspa
dc.identifier.doihttps://doi.org/10.29375/25392115.5058
dc.identifier.instnameinstname:Universidad Autónoma de Bucaramanga UNABspa
dc.identifier.issnISSN: 1657-2831spa
dc.identifier.issne-ISSN: 2539-2115spa
dc.identifier.repourlrepourl:https://repository.unab.edu.cospa
dc.identifier.urihttp://hdl.handle.net/20.500.12749/26649
dc.language.isospaspa
dc.publisherUniversidad Autónoma de Bucaramanga UNABspa
dc.relationhttps://revistas.unab.edu.co/index.php/rcc/article/view/5058/3964spa
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dc.relation.urihttps://revistas.unab.edu.co/index.php/rcc/issue/view/297spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.sourceVol. 25 Núm. 1 (2024): Revista Colombiana de Computación (Enero-Junio); 19-28spa
dc.subjectComputación de alto rendimientospa
dc.subjectCentro de datosspa
dc.subjectSimulación energéticaspa
dc.subjectEficacia en el uso de la energíaspa
dc.subject.keywordsHigh-performance Computingeng
dc.subject.keywordsData Centereng
dc.subject.keywordsEnergy Simulationeng
dc.subject.keywordsPower Usage Effectivenesseng
dc.titleModelo de análisis de variables de consumo energético para el procesamiento de datos en sistemas informáticos de alto rendimientospa
dc.title.translatedAnalysis Model of Energy Consumption Variables for Data Processing in High-Performance Computing Systemseng
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.driverinfo:eu-repo/semantics/article
dc.type.hasversioninfo:eu-repo/semantics/publishedVersion
dc.type.localArtículospa
dc.type.redcolhttp://purl.org/redcol/resource_type/ART

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