The DEVStone Metric: Performance Analysis of DEVS Simulation Engines

Cárdenas Rodríguez, Román ORCID: https://orcid.org/0000-0003-0762-4425, Henares Vilaboa, Kevin ORCID: https://orcid.org/0000-0002-2637-5316, Arroba García, Patricia ORCID: https://orcid.org/0000-0002-0587-997X, Risco Martín, José Luis ORCID: https://orcid.org/0000-0002-3127-6507 and Wainer, Gabriel ORCID: https://orcid.org/0000-0003-3366-9184 (2022). The DEVStone Metric: Performance Analysis of DEVS Simulation Engines. "ACM Transactions On Modeling And Computer Simulation", v. 32 (n. 3); pp. 1-20. ISSN 1049-3301. https://doi.org/10.1145/3543849.

Descripción

Título: The DEVStone Metric: Performance Analysis of DEVS Simulation Engines
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: ACM Transactions On Modeling And Computer Simulation
Fecha: Julio 2022
ISSN: 1049-3301
Volumen: 32
Número: 3
Materias:
Palabras Clave Informales: Metrics; Performance; Evaluation
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Ingeniería Electrónica
Grupo Investigación UPM: Laboratorio de Sistemas Integrados LSI
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

The DEVStone benchmark allows us to evaluate the performance of discrete-event simulators based on the DEVS formalism. It provides model sets with different characteristics, enabling the analysis of specific issues of simulation engines. However, this heterogeneity hinders the comparison of the results among studies, as the results obtained on each research work depend on the chosen subset of DEVStone models. We define the DEVStone metric based on the DEVStone synthetic benchmark and provide a mechanism for specifying objective ratings for DEVS-based simulators. This metric corresponds to the average number of times that a simulator can execute a selection of 12 DEVStone models in one minute. The variety of the chosen models ensures we measure different particularities provided by DEVStone. The proposed metric allows us to compare various simulators and to assess the impact of new features on their performance. We use the DEVStone metric to compare some popular DEVS-based simulators.

Proyectos asociados

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Gobierno de España
PID2019-110866RB-I00
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Más información

ID de Registro: 86087
Identificador DC: https://oa.upm.es/86087/
Identificador OAI: oai:oa.upm.es:86087
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/9951525
Identificador DOI: 10.1145/3543849
URL Oficial: https://dl.acm.org/doi/10.1145/3543849
Depositado por: Román Cárdenas Rodríguez
Depositado el: 14 Ene 2025 20:36
Ultima Modificación: 14 Ene 2025 20:36