Storage of simulation and entities history in discrete models

Autores
De Giusti, Marisa Raquel; Villarreal, Gonzalo Luján; Lira, Ariel Jorge
Año de publicación
2008
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Simulation is the process of executing a model, that is a representation of a system with enough detail to describe it but not too excessive. This model has a set of entities an internal state, a set of input variable that can be controlled and others that cannot, a list of process that bind these input variables with the entities and one or more output values, which result from the excecution of the processes.\nRunning a model is totally useless if it can not be analized, which means to study all interactions among input variables, model entities and their weight in the values of the output variables. In this work we consider Discrete Event Simulation, which means that the status of the system variables being simulated change in a countable set of instants, finite or countable infinite.\nSimulation programming languages provide a big range of tools for analysis of the results, for generation and execution of experiments and to perform complex analysis (such as Analysis of Variance). This is usually enough for common analysis, but many times more detailed information is required.\nIn many circumstances it is desirable to have all run of simulations stored in order to make further analysis or comparissons between simulations, many time after they have been run. Most simulation environments provide reports and logs (journals) and permit to save them in text or formated files, which include all results and some aspects of the run itself.\nIn this work, we propose to store not only all simulation results, but all simulation history.\nThis implies to store all permanent entities of the simulation, and all changes they have undergone along the simulation times. But it not only limits to permanent entities, since we also store the temporary ones, which are created and destroyed anytime in the simulation and which existence is subject to the execution of the simulation and the state of all model variables.\nThis development takes the same syntax of GPSS language and the way it handles entities, to develop a simple interpreter and a tool that considers a subset of GPSS entities and permits to execute simulations with them. Besides, this tool permits to search and select entities for each simulation and displays their evolution along the simulation.
Materia
Ciencias de la Computación e Información
Simulation
Persistence
Databases
Models
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
CIC Digital (CICBA)
Institución
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
OAI Identificador
oai:digital.cic.gba.gob.ar:11746/3408

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oai_identifier_str oai:digital.cic.gba.gob.ar:11746/3408
network_acronym_str CICBA
repository_id_str 9441
network_name_str CIC Digital (CICBA)
spelling Storage of simulation and entities history in discrete modelsDe Giusti, Marisa RaquelVillarreal, Gonzalo LujánLira, Ariel JorgeCiencias de la Computación e InformaciónSimulationPersistenceDatabasesModelsSimulation is the process of executing a model, that is a representation of a system with enough detail to describe it but not too excessive. This model has a set of entities an internal state, a set of input variable that can be controlled and others that cannot, a list of process that bind these input variables with the entities and one or more output values, which result from the excecution of the processes.\nRunning a model is totally useless if it can not be analized, which means to study all interactions among input variables, model entities and their weight in the values of the output variables. In this work we consider Discrete Event Simulation, which means that the status of the system variables being simulated change in a countable set of instants, finite or countable infinite.\nSimulation programming languages provide a big range of tools for analysis of the results, for generation and execution of experiments and to perform complex analysis (such as Analysis of Variance). This is usually enough for common analysis, but many times more detailed information is required.\nIn many circumstances it is desirable to have all run of simulations stored in order to make further analysis or comparissons between simulations, many time after they have been run. Most simulation environments provide reports and logs (journals) and permit to save them in text or formated files, which include all results and some aspects of the run itself.\nIn this work, we propose to store not only all simulation results, but all simulation history.\nThis implies to store all permanent entities of the simulation, and all changes they have undergone along the simulation times. But it not only limits to permanent entities, since we also store the temporary ones, which are created and destroyed anytime in the simulation and which existence is subject to the execution of the simulation and the state of all model variables.\nThis development takes the same syntax of GPSS language and the way it handles entities, to develop a simple interpreter and a tool that considers a subset of GPSS entities and permits to execute simulations with them. Besides, this tool permits to search and select entities for each simulation and displays their evolution along the simulation.2008info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/3408enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-29T13:40:21Zoai:digital.cic.gba.gob.ar:11746/3408Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-29 13:40:21.895CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse
dc.title.none.fl_str_mv Storage of simulation and entities history in discrete models
title Storage of simulation and entities history in discrete models
spellingShingle Storage of simulation and entities history in discrete models
De Giusti, Marisa Raquel
Ciencias de la Computación e Información
Simulation
Persistence
Databases
Models
title_short Storage of simulation and entities history in discrete models
title_full Storage of simulation and entities history in discrete models
title_fullStr Storage of simulation and entities history in discrete models
title_full_unstemmed Storage of simulation and entities history in discrete models
title_sort Storage of simulation and entities history in discrete models
dc.creator.none.fl_str_mv De Giusti, Marisa Raquel
Villarreal, Gonzalo Luján
Lira, Ariel Jorge
author De Giusti, Marisa Raquel
author_facet De Giusti, Marisa Raquel
Villarreal, Gonzalo Luján
Lira, Ariel Jorge
author_role author
author2 Villarreal, Gonzalo Luján
Lira, Ariel Jorge
author2_role author
author
dc.subject.none.fl_str_mv Ciencias de la Computación e Información
Simulation
Persistence
Databases
Models
topic Ciencias de la Computación e Información
Simulation
Persistence
Databases
Models
dc.description.none.fl_txt_mv Simulation is the process of executing a model, that is a representation of a system with enough detail to describe it but not too excessive. This model has a set of entities an internal state, a set of input variable that can be controlled and others that cannot, a list of process that bind these input variables with the entities and one or more output values, which result from the excecution of the processes.\nRunning a model is totally useless if it can not be analized, which means to study all interactions among input variables, model entities and their weight in the values of the output variables. In this work we consider Discrete Event Simulation, which means that the status of the system variables being simulated change in a countable set of instants, finite or countable infinite.\nSimulation programming languages provide a big range of tools for analysis of the results, for generation and execution of experiments and to perform complex analysis (such as Analysis of Variance). This is usually enough for common analysis, but many times more detailed information is required.\nIn many circumstances it is desirable to have all run of simulations stored in order to make further analysis or comparissons between simulations, many time after they have been run. Most simulation environments provide reports and logs (journals) and permit to save them in text or formated files, which include all results and some aspects of the run itself.\nIn this work, we propose to store not only all simulation results, but all simulation history.\nThis implies to store all permanent entities of the simulation, and all changes they have undergone along the simulation times. But it not only limits to permanent entities, since we also store the temporary ones, which are created and destroyed anytime in the simulation and which existence is subject to the execution of the simulation and the state of all model variables.\nThis development takes the same syntax of GPSS language and the way it handles entities, to develop a simple interpreter and a tool that considers a subset of GPSS entities and permits to execute simulations with them. Besides, this tool permits to search and select entities for each simulation and displays their evolution along the simulation.
description Simulation is the process of executing a model, that is a representation of a system with enough detail to describe it but not too excessive. This model has a set of entities an internal state, a set of input variable that can be controlled and others that cannot, a list of process that bind these input variables with the entities and one or more output values, which result from the excecution of the processes.\nRunning a model is totally useless if it can not be analized, which means to study all interactions among input variables, model entities and their weight in the values of the output variables. In this work we consider Discrete Event Simulation, which means that the status of the system variables being simulated change in a countable set of instants, finite or countable infinite.\nSimulation programming languages provide a big range of tools for analysis of the results, for generation and execution of experiments and to perform complex analysis (such as Analysis of Variance). This is usually enough for common analysis, but many times more detailed information is required.\nIn many circumstances it is desirable to have all run of simulations stored in order to make further analysis or comparissons between simulations, many time after they have been run. Most simulation environments provide reports and logs (journals) and permit to save them in text or formated files, which include all results and some aspects of the run itself.\nIn this work, we propose to store not only all simulation results, but all simulation history.\nThis implies to store all permanent entities of the simulation, and all changes they have undergone along the simulation times. But it not only limits to permanent entities, since we also store the temporary ones, which are created and destroyed anytime in the simulation and which existence is subject to the execution of the simulation and the state of all model variables.\nThis development takes the same syntax of GPSS language and the way it handles entities, to develop a simple interpreter and a tool that considers a subset of GPSS entities and permits to execute simulations with them. Besides, this tool permits to search and select entities for each simulation and displays their evolution along the simulation.
publishDate 2008
dc.date.none.fl_str_mv 2008
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
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dc.identifier.none.fl_str_mv https://digital.cic.gba.gob.ar/handle/11746/3408
url https://digital.cic.gba.gob.ar/handle/11746/3408
dc.language.none.fl_str_mv eng
language eng
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http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:CIC Digital (CICBA)
instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
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