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

doi:10.1007/978-3-030-51328-3_50

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

Artificial Intelligence and Facial Recognition Research Group (GIIAR)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Advances 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
Editors	Tareq Ahram
Publisher	Springer
Pages	361-368
Number of pages	8
ISBN (Print)	9783030513276
DOIs	https://doi.org/10.1007/978-3-030-51328-3_50
State	Published - 2021
Event	AHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020 - San Diego, United States Duration: 16 Jul 2020 → 20 Jul 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1213 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	AHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020
Country/Territory	United States
City	San Diego
Period	16/07/20 → 20/07/20

Bibliographical note

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.

Keywords

2-tuple linguistic model
Aggregation operators
Quality of Service
WPM

Access to Document

10.1007/978-3-030-51328-3_50

Cite this

Leyva Vazquez, M. Y., Quiroz Martinez, M. A., Diaz Sanchez, J. H., & Aguilera Balseca, J. L. (2021). Decision Model for QoS in Networking Based on Hierarchical Aggregation of Information. In T. Ahram (Ed.), Advances 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 (pp. 361-368). (Advances in Intelligent Systems and Computing; Vol. 1213 AISC). Springer. https://doi.org/10.1007/978-3-030-51328-3_50

Leyva Vazquez, Maikel Yelandi ; Quiroz Martinez, Miguel Angel ; Diaz Sanchez, Josseline Haylis et al. / Decision Model for QoS in Networking Based on Hierarchical Aggregation of Information. Advances 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. editor / Tareq Ahram. Springer, 2021. pp. 361-368 (Advances in Intelligent Systems and Computing).

@inproceedings{ad0a4ba9925f4a708c07c03b226e58f1,

title = "Decision Model for QoS in Networking Based on Hierarchical Aggregation of Information",

abstract = "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{\textquoteright}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.",

keywords = "2-tuple linguistic model, Aggregation operators, Quality of Service, WPM",

author = "{Leyva Vazquez}, {Maikel Yelandi} and {Quiroz Martinez}, {Miguel Angel} and {Diaz Sanchez}, {Josseline Haylis} and {Aguilera Balseca}, {Jorge Luis}",

note = "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: {\textcopyright} 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.; AHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020 ; Conference date: 16-07-2020 Through 20-07-2020",

year = "2021",

doi = "10.1007/978-3-030-51328-3_50",

language = "English",

isbn = "9783030513276",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "361--368",

editor = "Tareq Ahram",

booktitle = "Advances 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",

}

Leyva Vazquez, MY, Quiroz Martinez, MA, Diaz Sanchez, JH & Aguilera Balseca, JL 2021, Decision Model for QoS in Networking Based on Hierarchical Aggregation of Information. in T Ahram (ed.), Advances 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. Advances in Intelligent Systems and Computing, vol. 1213 AISC, Springer, pp. 361-368, AHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020, San Diego, United States, 16/07/20. https://doi.org/10.1007/978-3-030-51328-3_50

Decision Model for QoS in Networking Based on Hierarchical Aggregation of Information. / Leyva Vazquez, Maikel Yelandi; Quiroz Martinez, Miguel Angel; Diaz Sanchez, Josseline Haylis et al.
Advances 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. ed. / Tareq Ahram. Springer, 2021. p. 361-368 (Advances in Intelligent Systems and Computing; Vol. 1213 AISC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Decision Model for QoS in Networking Based on Hierarchical Aggregation of Information

AU - Leyva Vazquez, Maikel Yelandi

AU - Quiroz Martinez, Miguel Angel

AU - Diaz Sanchez, Josseline Haylis

AU - Aguilera Balseca, Jorge Luis

N1 - 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.

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - 2-tuple linguistic model

KW - Aggregation operators

KW - Quality of Service

KW - WPM

UR - http://www.scopus.com/inward/record.url?scp=85088524882&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-51328-3_50

DO - 10.1007/978-3-030-51328-3_50

M3 - Conference contribution

AN - SCOPUS:85088524882

SN - 9783030513276

T3 - Advances in Intelligent Systems and Computing

SP - 361

EP - 368

BT - Advances 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

A2 - Ahram, Tareq

PB - Springer

T2 - AHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020

Y2 - 16 July 2020 through 20 July 2020

ER -

Leyva Vazquez MY, Quiroz Martinez MA, Diaz Sanchez JH, Aguilera Balseca JL. Decision Model for QoS in Networking Based on Hierarchical Aggregation of Information. In Ahram T, editor, Advances 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. Springer. 2021. p. 361-368. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-51328-3_50

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this