Dynamic service function chain orchestration for NFV/MEC-enabled IoT networks: A deep reinforcement learning approach

Y Liu, H Lu, X Li, Y Zhang, L Xi… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Network function virtualization (NFV) and mobile-edge computing (MEC) have been
introduced by Internet service providers (ISPs) to deal with various challenges, which hinder …

Dynamic service function chain embedding for NFV-enabled IoT: A deep reinforcement learning approach

X Fu, FR Yu, J Wang, Q Qi, J Liao - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The Internet of things (IoT) is becoming more and more flexible and economical with the
advancement in information and communication technologies. However, IoT networks will …

Virtualized network function forwarding graph placing in SDN and NFV-enabled IoT networks: A graph neural network assisted deep reinforcement learning method

Y Xie, L Huang, Y Kong, S Wang, S Xu… - … on Network and …, 2021 - ieeexplore.ieee.org
With an ambitious increase in the number of Internet of Things (IoT) terminals, IoT networks
face a huge challenge which is providing diverse and complex network services with …

Trusted cloud-edge network resource management: DRL-driven service function chain orchestration for IoT

S Guo, Y Dai, S Xu, X Qiu, F Qi - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
Private and public networks sharing resources for Internet of Things (IoT) network through
network function virtualization (NFV) and software-defined networking (SDN) forms a …

Service function chain embedding for NFV-enabled IoT based on deep reinforcement learning

X Fu, FR Yu, J Wang, Q Qi, J Liao - IEEE Communications …, 2019 - ieeexplore.ieee.org
It is challenging to efficiently manage different resources in the IoT. Recently, Network
function virtualization has attracted attention because of its prospect to achieve efficient …

Multiagent deep-reinforcement-learning-based virtual resource allocation through network function virtualization in Internet of Things

HA Shah, L Zhao - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Resource allocation is a significant task in the emerging area of Internet of Things (IoT). IoT
devices are usually low-cost devices with limited computational power and capabilities for …

Cloud–edge collaborative SFC mapping for industrial IoT using deep reinforcement learning

S Xu, Y Li, S Guo, C Lei, D Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The industrial Internet of Things (IIoT) and 5G have been served as the key elements to
support the reliable and efficient operation of Industry 4.0. By integrating burgeoning …

DRL-QOR: Deep reinforcement learning-based QoS/QoE-aware adaptive online orchestration in NFV-enabled networks

J Chen, J Chen, H Zhang - IEEE Transactions on Network and …, 2021 - ieeexplore.ieee.org
Faced with fluctuating network traffic and unknown underlying network traffic dynamics,
developing an effective orchestration model with low network cost is still a critical issue in …

Intelligent VNF orchestration and flow scheduling via model-assisted deep reinforcement learning

L Gu, D Zeng, W Li, S Guo… - IEEE Journal on …, 2019 - ieeexplore.ieee.org
Hosting virtualized network functions (VNF) has been regarded as an effective way to realize
network function virtualization (NFV). Considering the cost diversity in cloud computing, from …

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 …