2026-04-30T04:58:19Zhttps://uvadoc.uva.es/oai/request

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

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 2023 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. application/pdf https://uvadoc.uva.es/handle/10324/62380 eng Springer A framework for next generation cloud-native SDN cognitive resource orchestrator for IoTs (NG2CRO) info:eu-repo/semantics/bookPart TEXT UVaDOC. Repositorio Documental de la Universidad de Valladolid Hispana