Análisis del comportamiento autosimilar del tráfico Ethernet de las redes de datos

Autores
Pérez, Santiago Cristóbal; Facchini, Higinio Alberto; Bisaro, Luis; Azor, Jesús Rubén
Año de publicación
2010
Idioma
español castellano
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
The queuing analysis has been and is of enormous usefulness for the designers of networks and analysts of traffic, to effects of planning the capacities of the elements of network and of predicting his performance. These analyses depend on the nature Poisson of the traffic of data. Nevertheless, many results predicted from the analysis of queuings differ significantly from the performance observed in the reality. Diverse studies have demonstrated that for some environments the pattern of traffic is self-similar, instead of Poisson. This concept is related to other acquaintances since it are the fractals and the theory of the chaos. From beginning of the 90s were begun to publish documents referred to the self-similarity of the traffic of Ethernet. The present work develops successively the following paragraphs: 1) Self-similarity, 2) Self-similar data traffic, 3) Ethernet data traffic, 4) Case of experimental Study of Ethernet traffic, 5) Analysis with distribution Pareto, and 6) Analysis of goodness of fit with Kolmogorov-Smirnov's test.
Presentado en el V Workshop Arquitectura, Redes y Sistemas Operativos (WARSO)
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
System architectures
traffic
sistema operativo
self-similarity
Ethernet
Pareto
goodness of fit
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/19340

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spelling Análisis del comportamiento autosimilar del tráfico Ethernet de las redes de datosPérez, Santiago CristóbalFacchini, Higinio AlbertoBisaro, LuisAzor, Jesús RubénCiencias InformáticasSystem architecturestrafficsistema operativoself-similarityEthernetParetogoodness of fitThe queuing analysis has been and is of enormous usefulness for the designers of networks and analysts of traffic, to effects of planning the capacities of the elements of network and of predicting his performance. These analyses depend on the nature Poisson of the traffic of data. Nevertheless, many results predicted from the analysis of queuings differ significantly from the performance observed in the reality. Diverse studies have demonstrated that for some environments the pattern of traffic is self-similar, instead of Poisson. This concept is related to other acquaintances since it are the fractals and the theory of the chaos. From beginning of the 90s were begun to publish documents referred to the self-similarity of the traffic of Ethernet. The present work develops successively the following paragraphs: 1) Self-similarity, 2) Self-similar data traffic, 3) Ethernet data traffic, 4) Case of experimental Study of Ethernet traffic, 5) Analysis with distribution Pareto, and 6) Analysis of goodness of fit with Kolmogorov-Smirnov's test.Presentado en el V Workshop Arquitectura, Redes y Sistemas Operativos (WARSO)Red de Universidades con Carreras en Informática (RedUNCI)2010-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf722-731http://sedici.unlp.edu.ar/handle/10915/19340spainfo:eu-repo/semantics/altIdentifier/isbn/978-950-9474-49-9info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:26:43Zoai:sedici.unlp.edu.ar:10915/19340Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:26:43.802SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Análisis del comportamiento autosimilar del tráfico Ethernet de las redes de datos
title Análisis del comportamiento autosimilar del tráfico Ethernet de las redes de datos
spellingShingle Análisis del comportamiento autosimilar del tráfico Ethernet de las redes de datos
Pérez, Santiago Cristóbal
Ciencias Informáticas
System architectures
traffic
sistema operativo
self-similarity
Ethernet
Pareto
goodness of fit
title_short Análisis del comportamiento autosimilar del tráfico Ethernet de las redes de datos
title_full Análisis del comportamiento autosimilar del tráfico Ethernet de las redes de datos
title_fullStr Análisis del comportamiento autosimilar del tráfico Ethernet de las redes de datos
title_full_unstemmed Análisis del comportamiento autosimilar del tráfico Ethernet de las redes de datos
title_sort Análisis del comportamiento autosimilar del tráfico Ethernet de las redes de datos
dc.creator.none.fl_str_mv Pérez, Santiago Cristóbal
Facchini, Higinio Alberto
Bisaro, Luis
Azor, Jesús Rubén
author Pérez, Santiago Cristóbal
author_facet Pérez, Santiago Cristóbal
Facchini, Higinio Alberto
Bisaro, Luis
Azor, Jesús Rubén
author_role author
author2 Facchini, Higinio Alberto
Bisaro, Luis
Azor, Jesús Rubén
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
System architectures
traffic
sistema operativo
self-similarity
Ethernet
Pareto
goodness of fit
topic Ciencias Informáticas
System architectures
traffic
sistema operativo
self-similarity
Ethernet
Pareto
goodness of fit
dc.description.none.fl_txt_mv The queuing analysis has been and is of enormous usefulness for the designers of networks and analysts of traffic, to effects of planning the capacities of the elements of network and of predicting his performance. These analyses depend on the nature Poisson of the traffic of data. Nevertheless, many results predicted from the analysis of queuings differ significantly from the performance observed in the reality. Diverse studies have demonstrated that for some environments the pattern of traffic is self-similar, instead of Poisson. This concept is related to other acquaintances since it are the fractals and the theory of the chaos. From beginning of the 90s were begun to publish documents referred to the self-similarity of the traffic of Ethernet. The present work develops successively the following paragraphs: 1) Self-similarity, 2) Self-similar data traffic, 3) Ethernet data traffic, 4) Case of experimental Study of Ethernet traffic, 5) Analysis with distribution Pareto, and 6) Analysis of goodness of fit with Kolmogorov-Smirnov's test.
Presentado en el V Workshop Arquitectura, Redes y Sistemas Operativos (WARSO)
Red de Universidades con Carreras en Informática (RedUNCI)
description The queuing analysis has been and is of enormous usefulness for the designers of networks and analysts of traffic, to effects of planning the capacities of the elements of network and of predicting his performance. These analyses depend on the nature Poisson of the traffic of data. Nevertheless, many results predicted from the analysis of queuings differ significantly from the performance observed in the reality. Diverse studies have demonstrated that for some environments the pattern of traffic is self-similar, instead of Poisson. This concept is related to other acquaintances since it are the fractals and the theory of the chaos. From beginning of the 90s were begun to publish documents referred to the self-similarity of the traffic of Ethernet. The present work develops successively the following paragraphs: 1) Self-similarity, 2) Self-similar data traffic, 3) Ethernet data traffic, 4) Case of experimental Study of Ethernet traffic, 5) Analysis with distribution Pareto, and 6) Analysis of goodness of fit with Kolmogorov-Smirnov's test.
publishDate 2010
dc.date.none.fl_str_mv 2010-10
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info:eu-repo/semantics/publishedVersion
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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
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