RT info:eu-repo/semantics/bookPart
T1 A Framework for Next Generation Cloud-Native SDN Cognitive Resource Orchestrator for IoTs (NG2CRO)
A1 Kanwal Janjua, Hafiza
A1 Miguel Jiménez, Ignacio de
A1 Durán Barroso, Ramón José
A1 Masoumi, Maryam
A1 Hosseini, Soheil
A1 Aguado Manzano, Juan Carlos
A1 Merayo Álvarez, Noemí
A1 Abril Domingo, Evaristo José
K1 Next Generation 5G Network
K1 Artificial Intelligence
K1 Network Automation
K1 Software-Define Networking
K1 Cloud-Native SDN
K1 Resource Orchestration
AB 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.
PB Springer
YR 2023
FD 2023
LK https://uvadoc.uva.es/handle/10324/62380
UL https://uvadoc.uva.es/handle/10324/62380
LA eng
NO 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
NO Producción Científica
DS UVaDOC
RD 23-nov-2024