Analysis of performance in PelicanHPC-based Clusters
Descripción del Articulo
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...
| Autores: | , , |
|---|---|
| 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 |
| id |
UNMB-RRiqc_0a01b4efef4d13012e80a5656c92cd3f |
|---|---|
| oai_identifier_str |
oai:revistas.unamba.edu.pe:article/26 |
| network_acronym_str |
UNMB-RRiqc |
| network_name_str |
UNMB-Riqchary |
| 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 reponame:UNMB-Riqchary instname:Universidad Nacional Micaela Bastidas de Apurímac instacron:UNMB |
| instname_str |
Universidad Nacional Micaela Bastidas de Apurímac |
| instacron_str |
UNMB |
| institution |
UNMB |
| reponame_str |
UNMB-Riqchary |
| collection |
UNMB-Riqchary |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
|
| _version_ |
1870179245518487552 |
| 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 |
| score |
13.922664 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).