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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/19340
Ver los metadatos del registro completo
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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 |
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 |
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language |
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info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) |
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http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) |
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