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oai:recercat.cat:2117/4600822026-04-01T10:25:23Zcom_2072_1033col_2072_452950

An intent conflict detection and resolution model for transport connectivity services Alemany, Pol Niknahad, Hadi Adanza, Daniel Díaz Rivera, Javier José Gifré Renom, Lluis Rincón Rivera, David Vilalta, Ricard Muñoz, Raul Universitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica Universitat Politècnica de Catalunya. BAMPLA - Disseny i Avaluació de Xarxes i Serveis de Banda Ampla Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors IBN Conflict management SDN Connectivity service © 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This paper presents a solution for detecting and resolving conflicts in Intent-Based Networking (IBN) for transport connectivity services. As networks become more complex, IBN allows high-level, goal-oriented management, but conflicts between overlapping intents can degrade performance or security. The paper proposes a two-level conflict detection model—within a single intent (intra-intent) and between multiple intents (inter-intent)—focusing on key service quality attributes like latency, bandwidth, and packet loss. A resolution model combines priority-based allocation and weighted fair sharing to ensure fair resource distribution. The solution was validated using the ETSI TeraFlow SDN controller, showing fast conflict detection and resolution, typically within milliseconds. The results confirm its effectiveness for real-time network management in dynamic environments like IoT and 5G, 6G and beyond. This work is partially funded by the EC through the ACROSS (101097122) project, partially by the Ministerio de Asuntos Económicos y Transformación Digital and the European Union-Next GenerationEU in the frameworks of the Plan de Recuperación, Transformación y Resiliencia and of the Mecanismo de Recuperación y Resiliencia through UNICO-5G I+D 6GMICROSDN project under references TSI-063000-2021-19, TSI-063000-2021-20, TSI063000-2021-21, and the MCIN/AEI/10.13039/501100011033/FEDER/UE, and by the RELAMPAGO project (Grant PID2021-127916OB-I00) funded by MICIU/AEI/ 10.13039/501100011033 and by ERDF/EU, and by the project 6G-INSPIRE PID2022-137329OB-C41, supported by MICIU/AEI/10.13039/501100011033 and FEDER (EU). Postprint (author's final draft) 2025 Conference report Alemany, P. [et al.]. An intent conflict detection and resolution model for transport connectivity services. A: IEEE Conference on Network Functions Virtualization and Software-Defined Networking. «2025 IEEE Conference on Network Function Virtualization and Software-Defined Networking (NFV-SDN): 10-12 November 2025, Athens, Greece: proceedings conference». 2025, p. 1-6. ISBN 978-1-6654-6577-9. DOI 10.1109/NFV-SDN66355.2025.11349493 . 978-1-6654-6577-9 https://hdl.handle.net/2117/460082 10.1109/NFV-SDN66355.2025.11349493 https://hdl.handle.net/2117/460082 eng https://ieeexplore.ieee.org/abstract/document/11349493 info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-137329OB-C41/ES/REDES 6G DETERMINISTAS SEGURAS CON IA NATIVA PARA ENTORNOS HIPERCONECTADOS/ info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-127916OB-I00/ES/RED DE TRANSPORTE INTELIGENTE AUTONOMA MULTI-CAPA ABIERTA Y DESAGREGADA OPTICA/ Open Access 6 p. application/pdf