Analysis of performance in PelicanHPC-based Clusters

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The implementation of high-performance clusters has application in environments of grouping of independent physical nodes and in a virtualized manner through specialized middleware or a dedicated Operating System, with the aim of obtaining greater computational resources from basic equipment. Given...

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Detalles Bibliográficos
Autores: Aguirre-Carrasco, John Abraham, Alfaro-Chirinos, Luis Miguel, Huaylla-Quispe, Alejandrina
Formato: artículo
Fecha de Publicación:2023
Institución:Universidad Nacional Micaela Bastidas de Apurímac
Repositorio:UNMB-Riqchary
Lenguaje:español
OAI Identifier:oai:revistas.unamba.edu.pe:article/26
Enlace del recurso:https://revistas.unamba.edu.pe/index.php/riqchary/article/view/26
Nivel de acceso:acceso abierto
Materia:clúster de alto rendimiento
paralelismo
virtualización
PelicanHPC
high performance cluster
parallelism
virtualization
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repository_id_str
dc.title.none.fl_str_mv Analysis of performance in PelicanHPC-based Clusters
Análisis del rendimiento en Clústeres basados en PelicanHPC
title Analysis of performance in PelicanHPC-based Clusters
spellingShingle Analysis of performance in PelicanHPC-based Clusters
Aguirre-Carrasco, John Abraham
clúster de alto rendimiento
paralelismo
virtualización
PelicanHPC
high performance cluster
parallelism
virtualization
PelicanHPC
title_short Analysis of performance in PelicanHPC-based Clusters
title_full Analysis of performance in PelicanHPC-based Clusters
title_fullStr Analysis of performance in PelicanHPC-based Clusters
title_full_unstemmed Analysis of performance in PelicanHPC-based Clusters
title_sort Analysis of performance in PelicanHPC-based Clusters
dc.creator.none.fl_str_mv Aguirre-Carrasco, John Abraham
Alfaro-Chirinos, Luis Miguel
Huaylla-Quispe, Alejandrina
Aguirre-Carrasco, John Abraham
Alfaro-Chirinos, Luis Miguel
Huaylla-Quispe, Alejandrina
author Aguirre-Carrasco, John Abraham
author_facet Aguirre-Carrasco, John Abraham
Alfaro-Chirinos, Luis Miguel
Huaylla-Quispe, Alejandrina
author_role author
author2 Alfaro-Chirinos, Luis Miguel
Huaylla-Quispe, Alejandrina
author2_role author
author
dc.subject.none.fl_str_mv clúster de alto rendimiento
paralelismo
virtualización
PelicanHPC
high performance cluster
parallelism
virtualization
PelicanHPC
topic clúster de alto rendimiento
paralelismo
virtualización
PelicanHPC
high performance cluster
parallelism
virtualization
PelicanHPC
description The implementation of high-performance clusters has application in environments of grouping of independent physical nodes and in a virtualized manner through specialized middleware or a dedicated Operating System, with the aim of obtaining greater computational resources from basic equipment. Given both options, the question arises: Which implementation yields better results in terms of performance? Therefore, the purpose of this study is to carry out an analysis of the performance of clusters in two scenarios: ten homogeneous computing devices interconnected to a local network. by braided CAT 6a cable and a switch; and on the other hand, ten virtualized machines in the VirtualBox software, with resources distributed equally such as: RAM memory, processors and disk. The methodology adopted was experimental in five repetitive cycles and working based on the average execution time. The test algorithm is a prime number counter coded in C++ language, generating its output file and subsequent execution at the console level on the terminal. on the PelicanHPC Operating System (live CD variant of the Debian OS). The results are initially uniform, working from 1 to 10 nodes, where the result demonstrates more than 30% improvement in the traditional cluster compared to irregular progress in the virtualized cluster, points that will be the subject of descriptive analysis based on the results obtained.
publishDate 2023
dc.date.none.fl_str_mv 2023-10-24
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Artículo revisado por pares
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.unamba.edu.pe/index.php/riqchary/article/view/26
10.57166/riqchary/v5.n1.2023.115
url https://revistas.unamba.edu.pe/index.php/riqchary/article/view/26
identifier_str_mv 10.57166/riqchary/v5.n1.2023.115
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.unamba.edu.pe/index.php/riqchary/article/view/26/364
dc.rights.none.fl_str_mv Derechos de autor 2023 C&T Riqchary Revista de investigación en ciencia y tecnología
https://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2023 C&T Riqchary Revista de investigación en ciencia y tecnología
https://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv UNAMBA
publisher.none.fl_str_mv UNAMBA
dc.source.none.fl_str_mv C&T Riqchary Revista de investigación en ciencia y tecnología; Vol. 5 Núm. 1 (2023): begin(); 43-48
C&T Riqchary Science and technology research magazine; Vol. 5 No. 1 (2023): begin(); 43-48
2810-8124
2706-543X
10.57166/riqchary/v5.n1.2023
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spelling Analysis of performance in PelicanHPC-based ClustersAnálisis del rendimiento en Clústeres basados en PelicanHPCAguirre-Carrasco, John AbrahamAlfaro-Chirinos, Luis MiguelHuaylla-Quispe, AlejandrinaAguirre-Carrasco, John AbrahamAlfaro-Chirinos, Luis MiguelHuaylla-Quispe, Alejandrinaclúster de alto rendimientoparalelismovirtualizaciónPelicanHPChigh performance clusterparallelismvirtualizationPelicanHPCThe implementation of high-performance clusters has application in environments of grouping of independent physical nodes and in a virtualized manner through specialized middleware or a dedicated Operating System, with the aim of obtaining greater computational resources from basic equipment. Given both options, the question arises: Which implementation yields better results in terms of performance? Therefore, the purpose of this study is to carry out an analysis of the performance of clusters in two scenarios: ten homogeneous computing devices interconnected to a local network. by braided CAT 6a cable and a switch; and on the other hand, ten virtualized machines in the VirtualBox software, with resources distributed equally such as: RAM memory, processors and disk. The methodology adopted was experimental in five repetitive cycles and working based on the average execution time. The test algorithm is a prime number counter coded in C++ language, generating its output file and subsequent execution at the console level on the terminal. on the PelicanHPC Operating System (live CD variant of the Debian OS). The results are initially uniform, working from 1 to 10 nodes, where the result demonstrates more than 30% improvement in the traditional cluster compared to irregular progress in the virtualized cluster, points that will be the subject of descriptive analysis based on the results obtained.La implementación de clústeres de alto rendimiento tienen aplicación en entornos de agrupamiento de nodos físicos independientes y de manera virtualizada mediante un middleware especializado o un Sistema Operativo dedicado, con el objetivo de obtener mayor recurso computacional a partir de equipos básicos. Ante ambas opciones, surge la pregunta: ¿Qué implementación arroja mejores resultados en cuanto al rendimiento?, por lo que el presente estudio tiene por finalidad realizar un análisis al rendimiento de clústeres en dos escenarios: diez equipos de cómputo homogéneos interconectados a una red local por cable trenzado CAT 6a y un switch; y de otra parte, diez máquinas virtualizadas en el software VirtualBox, con recursos repartidos equitativamente como son: memoria RAM, procesadores y disco. La metodología adoptada fue experimental en cinco ciclos repetitivos y trabajando en función a las medias del tiempo de ejecución El algoritmo de prueba es un contador de números primos codificado en lenguaje C++, generando su archivo de salida y posterior ejecución a nivel de consola sobre la terminal en el Sistema Operativo PelicanHPC (variante de CD live del SO Debian). Los resultados son uniformes inicialmente, trabajando de 1 a 10 nodos, donde el resultado demuestra más de 30% de mejora en el clúster tradicional frente a un progreso irregular del clúster virtualizado, puntos que serán objeto del análisis descriptivo en base a resultados obtenidos.UNAMBA2023-10-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtículo revisado por pareshttps://revistas.unamba.edu.pe/index.php/riqchary/article/view/2610.57166/riqchary/v5.n1.2023.115C&T Riqchary Revista de investigación en ciencia y tecnología; Vol. 5 Núm. 1 (2023): begin(); 43-48C&T Riqchary Science and technology research magazine; Vol. 5 No. 1 (2023): begin(); 43-482810-81242706-543X10.57166/riqchary/v5.n1.2023reponame:UNMB-Riqcharyinstname:Universidad Nacional Micaela Bastidas de Apurímacinstacron:UNMBspahttps://revistas.unamba.edu.pe/index.php/riqchary/article/view/26/364Derechos de autor 2023 C&T Riqchary Revista de investigación en ciencia y tecnologíahttps://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessoai:revistas.unamba.edu.pe:article/262025-12-15T16:57:44Z
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