Decision Model for QoS in Networking Based on Hierarchical Aggregation of Information

Maikel Yelandi Leyva Vazquez, Miguel Angel Quiroz Martinez, Josseline Haylis Diaz Sanchez, Jorge Luis Aguilera Balseca

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

Resumen

One of the main objectives for Quality of Service (QoS) processes in computer networks is to establish the priority of the network services used within an organization in a given situation. Given the anticipation of a new scenario, an evaluation group must make an assessment in order to establish the set of network service priorities according to their level of importance for the new scenario. The process of assigning priorities to network services generally involves subjectivity and uncertainty, so the use of linguistic labels is appropriate for their assessment. A group of aggregation operators have been proposed in the literature. The existing models don’t provide enough flexibility and adaptability to the specific contexts of the organizations. This paper proposes a decision-making method that makes use of the aggregation operators in a hierarchical way using the model of the 2-linguistic tuples to prioritize services. The proposal allows the inclusion of aspects such as the criteria importance and simultaneity. A case study shows the applicability of the proposal. The article ends with proposals for future work that contribute to the increase of the applicability of the method.

Idioma originalInglés
Título de la publicación alojadaAdvances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing
EditoresTareq Ahram
EditorialSpringer
Páginas361-368
Número de páginas8
ISBN (versión impresa)9783030513276
DOI
EstadoPublicada - 2021
EventoAHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020 - San Diego, Estados Unidos
Duración: 16 jul. 202020 jul. 2020

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen1213 AISC
ISSN (versión impresa)2194-5357
ISSN (versión digital)2194-5365

Conferencia

ConferenciaAHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020
País/TerritorioEstados Unidos
CiudadSan Diego
Período16/07/2020/07/20

Nota bibliográfica

Funding Information:
Authors want to thank the Grupo de Investigaci?n en Inteligencia Artificial y Reconocimiento Facial (GIIAR) and to the Universidad Polit?cnica Salesiana for supporting this research.

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

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