Intelligent service deployment policy for next-generation industrial edge networks

A Hazra, M Adhikari, T Amgoth… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Edge computing has appeared as a promising technology for realizing industrial
computation data at the edge of the network. The fundamental challenge in edge-enabled …

Deep reinforcement learning for scheduling in an edge computing‐based industrial internet of things

J Wu, G Zhang, J Nie, Y Peng… - … and Mobile Computing, 2021 - Wiley Online Library
The demand for improving productivity in manufacturing systems makes the industrial
Internet of things (IIoT) an important research area spawned by the Internet of things (IoT). In …

Efficient and flexible management for industrial internet of things: A federated learning approach

Y Guo, Z Zhao, K He, S Lai, J Xia, L Fan - Computer Networks, 2021 - Elsevier
In this paper, we devise an efficient and flexible management for mobile edge computing
(MEC)-aided industrial Internet of Things (IIoT), from a federated learning approach. In the …

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 for edge service placement in softwarized industrial cyber-physical system

Y Hao, M Chen, H Gharavi, Y Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Future industrial cyber-physical system (CPS) devices are expected to request a large
amount of delay-sensitive services that need to be processed at the edge of a network. Due …

Deep reinforcement learning-based task scheduling in iot edge computing

S Sheng, P Chen, Z Chen, L Wu, Y Yao - Sensors, 2021 - mdpi.com
Edge computing (EC) has recently emerged as a promising paradigm that supports resource-
hungry Internet of Things (IoT) applications with low latency services at the network edge …

Toward edge-based deep learning in industrial Internet of Things

F Liang, W Yu, X Liu, D Griffith… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
As a typical application of the Internet of Things (IoT), the Industrial IoT (IIoT) connects all the
related IoT sensing and actuating devices ubiquitously so that the monitoring and control of …

Cybertwin-driven resource provisioning for IoE applications at 6G-enabled edge networks

M Adhikari, A Munusamy, N Kumar… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Cybertwin leverages the capabilities of networks and serves in multiple functionalities, by
identifying digital records of activities of humans and things, from the Internet of Everything …

Edge-AI: IoT request service provisioning in federated edge computing using actor-critic reinforcement learning

H Baghban, A Rezapour, CH Hsu… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Edge computing plays a critical role in the Internet of Things (IoT) environment as it
potentially supports the time-critical IoT applications' resources as well as latency …

Dynamic task offloading and service migration optimization in edge networks

Y Han, X Li, Z Zhou - International Journal of Crowd Science, 2023 - ieeexplore.ieee.org
In recent years, edge computing has emerged as a promising paradigm for providing flexible
and reliable services for Internet of things (loT) applications. User requests can be offloaded …