[HTML][HTML] A review of optimization methods for computation offloading in edge computing networks

K Sadatdiynov, L Cui, L Zhang, JZ Huang… - Digital Communications …, 2023 - Elsevier
Handling the massive amount of data generated by Smart Mobile Devices (SMDs) is a
challenging computational problem. Edge Computing is an emerging computation paradigm …

[HTML][HTML] A comprehensive survey on reinforcement-learning-based computation offloading techniques in edge computing systems

D Hortelano, I de Miguel, RJD Barroso… - Journal of Network and …, 2023 - Elsevier
In recent years, the number of embedded computing devices connected to the Internet has
exponentially increased. At the same time, new applications are becoming more complex …

Privacy-preserving offloading scheme in multi-access mobile edge computing based on MADRL

G Wu, X Chen, Z Gao, H Zhang, S Yu, S Shen - Journal of Parallel and …, 2024 - Elsevier
With the development of industrialization and intelligence, the Industrial Internet of Things
(IIoT) has gradually become the direction for traditional industries to transform into modern …

Game theoretical task offloading for profit maximization in mobile edge computing

H Teng, Z Li, K Cao, S Long, S Guo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, a novel task offloading architecture called Flex-MEC is proposed, which
achieves efficient task allocation and scheduling (TAS) between MEC servers. By adding …

Secure task offloading in blockchain-enabled mobile edge computing with deep reinforcement learning

A Samy, IA Elgendy, H Yu, W Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is a promising and fast-developing paradigm that provides
cloud services at the edge of the network. MEC enables IoT devices to offload and execute …

A deep reinforcement learning based hybrid algorithm for efficient resource scheduling in edge computing environment

F Xue, Q Hai, T Dong, Z Cui, Y Gong - Information Sciences, 2022 - Elsevier
Edge computing can greatly decrease the delay between users and cloud servers, which
can significantly improve system service performance. However, it remains challenging for …

Resource provisioning for mitigating edge DDoS attacks in MEC-enabled SDVN

Y Deng, H Jiang, P Cai, T Wu, P Zhou… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Vehicular ad hoc network (VANET) has become an accessible technology for improving
road safety and driving experience, the problems of heterogeneity and lack of resources it …

DDMTS: A novel dynamic load balancing scheduling scheme under SLA constraints in cloud computing

Z Tong, X Deng, H Chen, J Mei - Journal of Parallel and Distributed …, 2021 - Elsevier
Cloud computing is a computing method based on the Internet designed to share resources
through virtualization technology. For a large number of requests waiting to be processed …

Task offloading of cooperative intrusion detection system based on Deep Q Network in mobile edge computing

X Zhao, G Huang, J Jiang, L Gao, M Li - Expert Systems with Applications, 2022 - Elsevier
Due to the performance and resource limitations of wireless devices at the edge of the
network, the intrusion detection system deployed on the mobile edge network will cause …

Deep reinforcement learning with reference system to handle constraints for energy-efficient train control

M Shang, Y Zhou, H Fujita - Information Sciences, 2021 - Elsevier
Train energy-efficient control involves complicated optimization processes subject to
constraints such as speed, time, position and comfort requirements. Conventional …