Multi-expert multi-criteria decision support model for traffic control

The common use of IP networking structures implies the increasing demand of resources by users and applications. For this reason, organizations must guarantee adequate conditions for critical traffic. To face this problem, network administrators constantly need to make decisions regarding this situa...

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Detalles Bibliográficos
Autor principal: Gramajo, Sergio D.
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2012
Materias:
Ciencias Informáticas
Multi-Expert Multi-Criteria Decision Making
Linguistic Information
Traffic Control
información
Intelligent agents
Linguistics
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23596
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-23596
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Multi-Expert Multi-Criteria Decision Making
Linguistic Information
Traffic Control
información
Intelligent agents
Linguistics
spellingShingle Ciencias Informáticas
Multi-Expert Multi-Criteria Decision Making
Linguistic Information
Traffic Control
información
Intelligent agents
Linguistics
Gramajo, Sergio D.
Multi-expert multi-criteria decision support model for traffic control
topic_facet Ciencias Informáticas
Multi-Expert Multi-Criteria Decision Making
Linguistic Information
Traffic Control
información
Intelligent agents
Linguistics
description The common use of IP networking structures implies the increasing demand of resources by users and applications. For this reason, organizations must guarantee adequate conditions for critical traffic. To face this problem, network administrators constantly need to make decisions regarding this situation by means of using different strategies and tools of Quality of Service (QoS), such as Traffic Control (TC). Such decisions can be modeled by a decision support system that handles subjective information about decision maker’s perceptions. This information involves uncertainty and requires precise evaluation of traffic quality demanded. Subjectivity is modeled by using linguistic information (LI) in order to choose adequate solution to networking performance problems. This paper proposes a Multi-Expert (ME) Multi-Criteria (MC) Linguistic Decision Making (LDM) Model for TC in networking. Finally, an application example to show the model’s benefits is presented.
format Objeto de conferencia
Objeto de conferencia
author Gramajo, Sergio D.
author_facet Gramajo, Sergio D.
author_sort Gramajo, Sergio D.
title Multi-expert multi-criteria decision support model for traffic control
title_short Multi-expert multi-criteria decision support model for traffic control
title_full Multi-expert multi-criteria decision support model for traffic control
title_fullStr Multi-expert multi-criteria decision support model for traffic control
title_full_unstemmed Multi-expert multi-criteria decision support model for traffic control
title_sort multi-expert multi-criteria decision support model for traffic control
publishDate 2012
url http://sedici.unlp.edu.ar/handle/10915/23596
work_keys_str_mv AT gramajosergiod multiexpertmulticriteriadecisionsupportmodelfortrafficcontrol
bdutipo_str Repositorios
_version_ 1764820466008064001

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