Network Resource Allocation Algorithm using Reinforcement Learning Policy-based Network in a Smart Grid Scenario

Z Zheng, Y Han, Y Chi, F Yuan, W Cui, H Zhu, Y Zhang… - Electronics, 2023 - mdpi.com
The exponential growth in user numbers has resulted in an overwhelming surge in data that
the smart grid must process. To tackle this challenge, edge computing emerges as a vital …

VNE-HRL: A proactive virtual network embedding algorithm based on hierarchical reinforcement learning

J Cheng, Y Wu, Y Lin, E Yuepeng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Virtual network embedding (VNE) that instantiates virtualized networks on a substrate
infrastructure, is one of the key research problems for network virtualization. Most existing …

Learn to optimize: Adaptive VNF provisioning in mobile edge clouds

Q Xia, W Ren, Z Xu, P Zhou, W Xu… - 2020 17th Annual IEEE …, 2020 - ieeexplore.ieee.org
Machine learning (ML) has been penetrating into our daily life by facilitating many daily
applications, eg, self-driving, cloud gaming, product fault detection and drones. Meanwhile …

Virtual network embedding based on hierarchical cooperative multi-agent reinforcement learning

HK Lim, I Ullah, JB Kim, YH Han - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Virtual network embedding (VNE) is a promising technique enabling 5G networks to satisfy
the given requirements of each service via network virtualization (NV). For better …

Management and orchestration of virtual network functions via deep reinforcement learning

JSP Roig, DM Gutierrez-Estevez… - IEEE Journal on …, 2019 - ieeexplore.ieee.org
Management and orchestration (MANO) of resources by virtual network functions (VNFs)
represents one of the key challenges towards a fully virtualized network architecture as …

Ego network-based virtual network embedding scheme for revenue maximization

I Ullah, HK Lim, YH Han - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Network Virtualization (NV) technology allows multiple virtual network requests to share
resources on the same subtract network. In network virtualization, Virtual Network …

MUVINE: Multi-stage virtual network embedding in cloud data centers using reinforcement learning-based predictions

HK Thakkar, CK Dehury… - IEEE Journal on Selected …, 2020 - ieeexplore.ieee.org
The recent advances in virtualization technology have enabled the sharing of computing
and networking resources of cloud data centers among multiple users. Virtual Network …

Service function chaining in NFV-enabled edge networks with natural actor-critic deep reinforcement learning

R Wang, J Li, K Wang, X Liu, X Lit - 2021 IEEE/CIC …, 2021 - ieeexplore.ieee.org
In this paper, by exploiting the natural policy gradient-based actor-critic framework, we study
the service function chaining in network function virtualization (NFV)-enabled edge …

A deep reinforcement learning-based resource management scheme for SDN-MEC-supported XR applications

B Trinh, GM Muntean - 2022 IEEE 19th Annual Consumer …, 2022 - ieeexplore.ieee.org
The Multi-Access Edge Computing (MEC) paradigm provides a promising solution for
efficient computing services at edge nodes, such as base stations (BS), access points (AP) …

“DRL+ FL”: An intelligent resource allocation model based on deep reinforcement learning for mobile edge computing

N Shan, X Cui, Z Gao - Computer Communications, 2020 - Elsevier
With the emergence of a large number of computation-intensive and time-sensitive
applications, smart terminal devices with limited resources can only run the model training …