Multiagent reinforcement-learning-aided service function chain deployment for internet of things

Y Zhu, H Yao, T Mai, W He, N Zhang… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Nowadays, the compelling applications of the Internet of Things (IoT) bring unexpected
economic benefits to our daily lives. But at the same time, it also poses huge challenges to …

Learn to improve: A novel deep reinforcement learning approach for beyond 5G network slicing

A Rkhami, Y Hadjadj-Aoul… - 2021 IEEE 18th Annual …, 2021 - ieeexplore.ieee.org
Network slicing remains one of the key technologies in 5G and beyond 5G networks (B5G).
By leveraging SDN and NVF techniques, it enables the coexistence of several …

Toward adaptive joint node and link mapping algorithms for embedding virtual networks: A conciliation strategy

K Nguyen, C Huang - IEEE Transactions on Network and …, 2022 - ieeexplore.ieee.org
Network virtualization (NV) has emerged as a momentous facilitator for a notable triumph of
future networks by allowing a flexibility, cost-efficiency and on-demand services through the …

An energy‐aware approach for resource managing in the fog‐based Internet of Things using a hybrid algorithm

X Ren, Z Zhang, SM Arefzadeh - International Journal of …, 2021 - Wiley Online Library
Regarding the recent information technology improvement, the fog computing (FC)
emergence increases the ability of computational equipment and supplies modern solutions …

A robust control-theory-based exploration strategy in deep reinforcement learning for virtual network embedding

G Dandachi, S Cerf, Y Hadjadj-Aoul, A Outtagarts… - Computer Networks, 2022 - Elsevier
Network slice management and, more generally, resource orchestration should be fully
automated in 6G networks, as envisioned by the ETSI ENI. In this context, artificial …

Intelligent and resource-conserving service function chain (SFC) Embedding

P Rodis, P Papadimitriou - Journal of Network and Systems Management, 2023 - Springer
Abstract Network Function Virtualization (NFV) opens us great opportunities for network
processing with higher resource efficiency and flexibility. In this respect, there is an …

Oneshot Deep Reinforcement Learning Approach to Network Slicing for Autonomous IoT Systems

AKCS Boni, H Hassan, K Drira - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
With the emergence of the Internet of Things (IoT) services, meeting multiple and diverse
Quality of Service (QoS) requirements in networks has become a crucial issue. In the new …

A GRASP-based algorithm for Virtual Network Embedding

A Rguez, Y Hadjadj-Aoul, F Slim… - … IEEE Symposium on …, 2023 - ieeexplore.ieee.org
With the rise of network virtualization, network slicing is becoming a hot research topic.
Indeed, network operators must deal with capacity-limited resources while insuring an …

Energy Efficient VNF Placement Algorithm Using Reinforcement Learning in NFV-Enabled Network

Z Wang, L Zhuang, F Zhou… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
The application of network function virtualization (NFV) allows current networks to flexibly
manage orchestrated network functions and provide various network services. The current …

An approach to network service placement using intelligent search strategies over branch-and-bound

M Taghavian, Y Hadjadj-Aoul… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
Network Function Virtualization (NFV) has been a significant shift from traditional dedicated
hardware devices towards reusable software modules running over lightweight virtualized …