Método de avaliação de qualidade de serviço em sistemas multimídia utilizando um sistema genético nebuloso baseado em regras

Detalhes bibliográficos
Ano de defesa: 2005
Autor(a) principal: Bertoni, Fabiana Cristina
Orientador(a): Zorzo, Sérgio Donizetti lattes
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de São Carlos
Programa de Pós-Graduação: Programa de Pós-Graduação em Ciência da Computação - PPGCC
Departamento: Não Informado pela instituição
País: BR
Palavras-chave em Português:
Área do conhecimento CNPq:
Link de acesso: https://repositorio.ufscar.br/handle/20.500.14289/625
Resumo: The Quality of Service (QoS) available in the network is the most important parameter for the guarantee of the success in a multimedia transmission [Dressler 2003a]. In the current context of multimedia systems, handle systems to QoS control are essential to the applications have the desired quality in the service accomplishment. The human user of a multimedia application is the initial point of all the considerations regarding QoS, having this that worry about the perceivable effect to this user. Usually, users are not aware on how to specify low-level parameters, such bandwidth, not even to understand numerical values related to measurements of these. Thus, it is necessary that the system provides an abstraction level, so that the user can understand which is the quality of service which the network can offer in a certain instant. Then, the user can decide if he will place the application in execution or not. This work presents a new method to express the Quality of Service (QoS) in a multimedia connection. This method uses discrete values of QoS parameters, establishing a relationship among them through the use of a Fuzzy Genetic Rule-Based System (FGRBS) to obtain a single value that expresses the QoS of the connection. This final value is classified within a predefined QoS specification standard consisting of three sets: Optimal, Acceptable and Unacceptable, resulting in a definition of the Quality of Service in a user-level language.