Survey on placement methods in the edge and beyond

B Sonkoly, J Czentye, M Szalay… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Edge computing is a (r) evolutionary extension of traditional cloud computing. It expands
central cloud infrastructure with execution environments close to the users in terms of …

A review on the computation offloading approaches in mobile edge computing: A g ame‐theoretic perspective

A Shakarami, A Shahidinejad… - Software: Practice and …, 2020 - Wiley Online Library
In recent years, novel mobile applications such as augmented reality, virtual reality, and
three‐dimensional gaming, running on handy mobile devices have been pervasively …

Task co-offloading for D2D-assisted mobile edge computing in industrial internet of things

X Dai, Z Xiao, H Jiang, M Alazab… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC) and device-to-device (D2D) offloading are two promising
paradigms in the industrial Internet of Things (IIoT). In this article, we investigate task co …

Joint task offloading and resource allocation for energy-constrained mobile edge computing

H Jiang, X Dai, Z Xiao, A Iyengar - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
We consider the problem of task offloading and resource allocation in mobile edge
computing (MEC). To maintain satisfactory quality of experience (QoE) of end-users, mobile …

A DRL agent for jointly optimizing computation offloading and resource allocation in MEC

J Chen, H Xing, Z Xiao, L Xu… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
This article studies the joint optimization problem of computation offloading and resource
allocation (JCORA) in mobile-edge computing (MEC). Deep reinforcement learning (DRL) is …

Deep reinforcement learning for task offloading in mobile edge computing systems

M Tang, VWS Wong - IEEE Transactions on Mobile Computing, 2020 - ieeexplore.ieee.org
In mobile edge computing systems, an edge node may have a high load when a large
number of mobile devices offload their tasks to it. Those offloaded tasks may experience …

Multiagent deep reinforcement learning for vehicular computation offloading in IoT

X Zhu, Y Luo, A Liu, MZA Bhuiyan… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
The development of the Internet of Things (IoT) and intelligent vehicles brings a comfortable
environment for users. Various emerging vehicular applications using artificial intelligence …

A deep reinforcement learning-based resource management game in vehicular edge computing

X Zhu, Y Luo, A Liu, NN Xiong… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is a promising paradigm that leverages the vehicles to
offload computation tasks to the nearby VEC server with the aim of supporting the low …

User-centric computation offloading for edge computing

X Deng, Z Sun, D Li, J Luo… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The number of smart devices newly connected to the Internet has grown exponentially in
recent years. These smart devices are interwoven into huge Internet of Things. There is a …

Computation offloading scheduling for periodic tasks in mobile edge computing

S Jošilo, G Dán - IEEE/ACM Transactions on Networking, 2020 - ieeexplore.ieee.org
Motivated by various delay sensitive applications, we address the problem of coordinating
the offloading decisions of wireless devices that periodically generate computationally …