2026-04-22T23:10:49Zhttps://uvadoc.uva.es/oai/request

oai:uvadoc.uva.es:10324/623802025-09-23T06:42:24Zcom_10324_1191com_10324_931com_10324_894col_10324_1380

A framework for next generation cloud-native SDN cognitive resource orchestrator for IoTs (NG2CRO) Janjua, Hafiza Kanwal Miguel Jiménez, Ignacio de Durán Barroso, Ramón José Masoumi Estahbanati, Maryam Hosseini, Soheil Aguado Manzano, Juan Carlos Merayo Álvarez, Noemí Abril Domingo, Evaristo José Producción Científica SDN (Software Define Networking) and NFV (Network Function Virtualization) are the key enablers for 5G systems and also open many doors in the cloud-native application. Besides, it invites new challenges to the efficiency and scalability of resource management. This work aims to provide a cognitive framework for 5G resource and service orchestration in a cloud-native SDN environment. The proposed NG2CRO framework resource orchestrator is designed to adapt the network’s self-learning capabilities and dynamicity while taken on to account the network’s Markovian properties and diverse service requirements. We consider incorporating AI (Artificial Intelligence) techniques specifically RL (Reinforcement Learning) methodologies because literature has shown that these techniques can efficiently address and comply with the current dynamic behaviors and heterogeneity of 5G services and applications. In conclusion, both benefits and liabilities are discussed of incorporating AI specifically RL into resource orchestration practices that provide us with future research challenges. 2023-10-26T11:07:30Z 2023-10-26T11:07:30Z 2023 info:eu-repo/semantics/bookPart In: Mehmood, R., et al. Distributed Computing and Artificial Intelligence, Special Sessions I, 20th International Conference. DCAI 2023. Lecture Notes in Networks and Systems vol. 741, pp. 399-407, Springer, Cham In: Mehmood, R., et al. Distributed Computing and Artificial Intelligence, Special Sessions I, 20th International Conference. DCAI 2023. Lecture Notes in Networks and Systems, vol. 741, pp. 399-407, Springer, Cham https://uvadoc.uva.es/handle/10324/62380 10.1007/978-3-031-38318-2_39 eng https://doi.org/10.1007/978-3-031-38318-2_39 info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/4.0/ Attribution-NonCommercial-NoDerivatives 4.0 Internacional Springer