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 …

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 …

Optimized IoT service chain implementation in edge cloud platform: a deep learning framework

C Pham, DT Nguyen, NH Tran… - … on Network and …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) services have been implemented for several network applications
from smart cities to rural areas. However, there are many barriers to provide an efficient …

AI-enhanced offloading in edge computing: When machine learning meets industrial IoT

W Sun, J Liu, Y Yue - IEEE Network, 2019 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) enables intelligent industrial operations by
incorporating artificial intelligence (AI) and big data technologies. An AI-enabled framework …

Distributed orchestration of service function chains for edge intelligence in the industrial internet of things

H Chen, S Wang, G Li, L Nie, X Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Network virtualization techniques are promising to overcome the obstacle of applying and
expanding costly traditional networks in the industrial Internet of things (IIoT). Artificial …

Deep reinforcement learning based cooperative partial task offloading and resource allocation for IIoT applications

F Zhang, G Han, L Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) has been regarded as one of the pillars supporting the
conceptual paradigm of the Industry 4.0. Compared with traditional cloud computing …

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 …

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 …

Service function chaining in industrial Internet of Things with edge intelligence: A natural actor-critic approach

J Li, R Wang, K Wang - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
Owing to network function virtualization (NFV), each industrial application is constructed as a
service function chain (SFC), concatenating the ordered service functions, to offer …

Priority-aware resource management for adaptive service function chaining in real-time intelligent IoT services

P Tam, S Math, S Kim - Electronics, 2022 - mdpi.com
The growth of the Internet of Things (IoT) in various mission-critical applications generates
service heterogeneity with different priority labels. A set of virtual network function (VNF) …