Framework de Evaluación de Modelos de Ejecución Concurrente: Un Estudio de Caso con Sistema de Votación Parlamentario

Autores
González, Facundo; Rodríguez, Nelson Rubén
Año de publicación
2025
Idioma
español castellano
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
This work presents a methodological framework for comparative evaluation of concurrency execution models in modern programming languages, using a parliamentary voting system as a representative case study. Three concurrency paradigms were implemented and evaluated: native operating system threads (C/Pthreads), cooperative concurrency based on coroutines (Python/asyncio), and goroutines with channel communication (Go). The methodology includes rigorous statistical analysis with non-parametric tests, multidimensional system resource evaluation, and empirical validation under differentiated I/O-bound and CPU-bound workloads. Results demonstrate that Go provides optimal performance for intensive I/O-bound workloads (global score 1.84 vs 3.36 for Python asyncio), while C maintains supremacy in computeintensive scenarios. Quantitative criteria for concurrency technology selection are established based on workload characteristics and system resource constraints.
Red de Universidades con Carreras en Informática
Materia
Ciencias Informáticas
Concurrency
Performance Evaluation
Distributed Systems
Programming Languages
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/191504
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/191504
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repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Framework de Evaluación de Modelos de Ejecución Concurrente: Un Estudio de Caso con Sistema de Votación ParlamentarioGonzález, FacundoRodríguez, Nelson RubénCiencias InformáticasConcurrencyPerformance EvaluationDistributed SystemsProgramming LanguagesThis work presents a methodological framework for comparative evaluation of concurrency execution models in modern programming languages, using a parliamentary voting system as a representative case study. Three concurrency paradigms were implemented and evaluated: native operating system threads (C/Pthreads), cooperative concurrency based on coroutines (Python/asyncio), and goroutines with channel communication (Go). The methodology includes rigorous statistical analysis with non-parametric tests, multidimensional system resource evaluation, and empirical validation under differentiated I/O-bound and CPU-bound workloads. Results demonstrate that Go provides optimal performance for intensive I/O-bound workloads (global score 1.84 vs 3.36 for Python asyncio), while C maintains supremacy in computeintensive scenarios. Quantitative criteria for concurrency technology selection are established based on workload characteristics and system resource constraints.Red de Universidades con Carreras en Informática2025-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf236-244http://sedici.unlp.edu.ar/handle/10915/191504spainfo:eu-repo/semantics/altIdentifier/isbn/978-987-8258-99-7info:eu-repo/semantics/reference/hdl/10915/189846info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2026-05-06T13:00:05Zoai:sedici.unlp.edu.ar:10915/191504Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292026-05-06 13:00:05.729SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Framework de Evaluación de Modelos de Ejecución Concurrente: Un Estudio de Caso con Sistema de Votación Parlamentario
title Framework de Evaluación de Modelos de Ejecución Concurrente: Un Estudio de Caso con Sistema de Votación Parlamentario
spellingShingle Framework de Evaluación de Modelos de Ejecución Concurrente: Un Estudio de Caso con Sistema de Votación Parlamentario
González, Facundo
Ciencias Informáticas
Concurrency
Performance Evaluation
Distributed Systems
Programming Languages
title_short Framework de Evaluación de Modelos de Ejecución Concurrente: Un Estudio de Caso con Sistema de Votación Parlamentario
title_full Framework de Evaluación de Modelos de Ejecución Concurrente: Un Estudio de Caso con Sistema de Votación Parlamentario
title_fullStr Framework de Evaluación de Modelos de Ejecución Concurrente: Un Estudio de Caso con Sistema de Votación Parlamentario
title_full_unstemmed Framework de Evaluación de Modelos de Ejecución Concurrente: Un Estudio de Caso con Sistema de Votación Parlamentario
title_sort Framework de Evaluación de Modelos de Ejecución Concurrente: Un Estudio de Caso con Sistema de Votación Parlamentario
dc.creator.none.fl_str_mv González, Facundo
Rodríguez, Nelson Rubén
author González, Facundo
author_facet González, Facundo
Rodríguez, Nelson Rubén
author_role author
author2 Rodríguez, Nelson Rubén
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Concurrency
Performance Evaluation
Distributed Systems
Programming Languages
topic Ciencias Informáticas
Concurrency
Performance Evaluation
Distributed Systems
Programming Languages
dc.description.none.fl_txt_mv This work presents a methodological framework for comparative evaluation of concurrency execution models in modern programming languages, using a parliamentary voting system as a representative case study. Three concurrency paradigms were implemented and evaluated: native operating system threads (C/Pthreads), cooperative concurrency based on coroutines (Python/asyncio), and goroutines with channel communication (Go). The methodology includes rigorous statistical analysis with non-parametric tests, multidimensional system resource evaluation, and empirical validation under differentiated I/O-bound and CPU-bound workloads. Results demonstrate that Go provides optimal performance for intensive I/O-bound workloads (global score 1.84 vs 3.36 for Python asyncio), while C maintains supremacy in computeintensive scenarios. Quantitative criteria for concurrency technology selection are established based on workload characteristics and system resource constraints.
Red de Universidades con Carreras en Informática
description This work presents a methodological framework for comparative evaluation of concurrency execution models in modern programming languages, using a parliamentary voting system as a representative case study. Three concurrency paradigms were implemented and evaluated: native operating system threads (C/Pthreads), cooperative concurrency based on coroutines (Python/asyncio), and goroutines with channel communication (Go). The methodology includes rigorous statistical analysis with non-parametric tests, multidimensional system resource evaluation, and empirical validation under differentiated I/O-bound and CPU-bound workloads. Results demonstrate that Go provides optimal performance for intensive I/O-bound workloads (global score 1.84 vs 3.36 for Python asyncio), while C maintains supremacy in computeintensive scenarios. Quantitative criteria for concurrency technology selection are established based on workload characteristics and system resource constraints.
publishDate 2025
dc.date.none.fl_str_mv 2025-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/191504
url http://sedici.unlp.edu.ar/handle/10915/191504
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-987-8258-99-7
info:eu-repo/semantics/reference/hdl/10915/189846
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
236-244
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
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reponame_str SEDICI (UNLP)
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instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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