Security computing resource allocation based on deep reinforcement learning in serverless multi-cloud edge computing

H Zhang, J Wang, H Zhang, C Bu - Future Generation Computer Systems, 2024 - Elsevier
Handling computationally intensive tasks is challenging for user devices (UDs) with limited
computing resources. Serverless cloud edge computing solves this problem and reduces …

Deep reinforcement learning-based video offloading and resource allocation in noma-enabled networks

S Gao, Y Wang, N Feng, Z Wei, J Zhao - Future Internet, 2023 - mdpi.com
With the proliferation of video surveillance system deployment and related applications, real-
time video analysis is very critical to achieving intelligent monitoring, autonomous driving …

Dependency-aware vehicular task scheduling policy for tracking service VEC networks

C Li, F Liu, B Wang, CLP Chen, X Tang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In this paper, we study a tracking service vehicular edge computing (VEC) network that
provides computation offloading service for Intelligent vehicles, where computational tasks …

DRL-Based Computation Offloading and Resource Allocation in Green MEC-Enabled Maritime-IoT Networks

Z Wei, R He, Y Li, C Song - Electronics, 2023 - mdpi.com
The maritime Internet of Things (MIoT), a maritime version of the Internet of Things (IoT), is
envisioned as a promising solution that can provide ubiquitous connectivity over land and …

An efficient task offloading and resource allocation using dynamic arithmetic optimized double deep Q-network in cloud edge platform

K Kumaran, E Sasikala - Peer-to-Peer Networking and Applications, 2023 - Springer
The dramatic increase in the number of the Internet of Things (IoT) devices resulted in
massive data being generated. This complexity mainly increases the need to offload the IoT …

Energy-efficient deadline-aware edge computing: Bandit learning with partial observations in multi-channel systems

B Badnava, K Roach, K Cheung… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
In this paper, we consider a task offloading problem in a multi-access edge computing
(MEC) network, in which edge users can either use their local processing unit to compute …

On collective intellect for task offloading in vehicular fog paradigm

B Shabir, AU Rahman, AW Malik, MA Khan - IEEE Access, 2022 - ieeexplore.ieee.org
A vehicular fog network is an emerging paradigm adopted to facilitate delay-sensitive and
innovative applications. Since vehicular environments are inherently dynamic, it becomes a …

基于深度强化学习的海洋移动边缘计算卸载方法

苏新, 孟蕾蕾, 周一青 - 通信学报, 2022 - infocomm-journal.com
海洋信息系统网络节点之间的强异构特性为海洋移动边缘计算任务卸载优化带来了复杂高维度
的限制条件, 同时复杂多样化的海事应用会导致海洋网络局部区域出现计算任务的超负荷处理 …

Optical wireless communication based mobile edge computing integrated channel allocation using scheduling with machine learning protocols in advanced 5G …

R Vishnoi, P Pradeepa, D Kumar, GJ Das… - Optical and Quantum …, 2024 - Springer
Edge computing enables even low-powered devices to move part of their processing work to
the edges of the network, improving service quality for everyone. Though several studies …

[HTML][HTML] Latency minimization for multiuser computation offloading in fog-radio access networks

W Zhang, S Wang, Y Pan, Q Li, J Lin, X Wu - Digital Communications and …, 2023 - Elsevier
Abstract Recently, the Fog-Radio Access Network (F-RAN) has gained considerable
attention, because of its flexible architecture that allows rapid response to user …