Multi-agent deep reinforcement learning for cooperative computing offloading and route optimization in multi cloud-edge networks
A Suzuki, M Kobayashi, E Oki - IEEE Transactions on Network …, 2023 - ieeexplore.ieee.org
Edge computing is a new paradigm to provide computing capability at the edge servers
close to end devices. A significant research challenge in edge computing is finding efficient …
close to end devices. A significant research challenge in edge computing is finding efficient …
EFraS: Emulated framework to develop and analyze dynamic Virtual Network Embedding strategies over SDN infrastructure
Abstract The integration of Software-Defined Networking (SDN) into Network Virtualization
(NV) significantly enhances network management, isolation, and troubleshooting …
(NV) significantly enhances network management, isolation, and troubleshooting …
Intelligent multicast routing method based on multi-agent deep reinforcement learning in SDWN
H Hu, M Ye, C Zhao, Q Jiang, Y Wang, H Qiu… - arXiv preprint arXiv …, 2023 - arxiv.org
Multicast communication technology is widely applied in wireless environments with a high
device density. Traditional wireless network architectures have difficulty flexibly obtaining …
device density. Traditional wireless network architectures have difficulty flexibly obtaining …
Guest Editors' Introduction: Special Section on Smart Management of Future Softwarized Networks
G Schembra, W Kellerer, C Jacquenet… - … on Network and …, 2022 - ieeexplore.ieee.org
Network softwarization is one of the key enablers of the future Internet evolution, also
supporting the road from the fifth generation (5G) to the next-generation communication …
supporting the road from the fifth generation (5G) to the next-generation communication …
Automated Pricing-based Provisioning of SDN/NFV Services in Distributed Multi-access Edge Computing using Cooperative Multi-Agent Deep Reinforcement …
JJ Julien, S Nuannimnoi… - 2023 10th International …, 2023 - ieeexplore.ieee.org
The disruption caused by Software Defined Network and Network Function Virtualization
(SDN/NFV) technologies will have many impacts on the telecom network. Specifically, the …
(SDN/NFV) technologies will have many impacts on the telecom network. Specifically, the …
Joint Virtual Network Function Deployment and Scheduling via Heuristics and Deep Reinforcement Learning
Z Zhang, E Oki - IEICE Transactions on Communications, 2023 - search.ieice.org
This paper introduces heuristic approaches and a deep reinforcement learning approach to
solve a joint virtual network function deployment and scheduling problem in a dynamic …
solve a joint virtual network function deployment and scheduling problem in a dynamic …
[PDF][PDF] Network Resource Management Using Multi-Agent Deep Reinforcement Learning
A Suzuki - 2023 - repository.kulib.kyoto-u.ac.jp
The future evolution of networks will require various new communication technologies.
These technologies offer many advantages, including flexibility, scalability, and cost savings …
These technologies offer many advantages, including flexibility, scalability, and cost savings …
Multi-agent deep reinforcement learning-based task scheduling and resource sharing for O-RAN-empowered multi-UAV-assisted wireless sensor networks
Wireless sensor networks (WSNs) with ultra-dense sensors are crucial for several industries,
such as smart agricultural systems deployed in the fifth generation (5G) and beyond 5G …
such as smart agricultural systems deployed in the fifth generation (5G) and beyond 5G …