Computation offloading in mobile edge computing networks: A survey

C Feng, P Han, X Zhang, B Yang, Y Liu… - Journal of Network and …, 2022 - Elsevier
Computation offloading is one of the key technologies in Mobile Edge Computing (MEC),
which makes up for the deficiencies of mobile devices in terms of storage resource …

Task offloading paradigm in mobile edge computing-current issues, adopted approaches, and future directions

MY Akhlaqi, ZBM Hanapi - Journal of Network and Computer Applications, 2023 - Elsevier
Many enterprise companies migrate their services and applications to the cloud to benefit
from cloud computing advantages. Meanwhile, the rapidly increasing number of connected …

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

H Jiang, X Dai, Z **ao, 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 …

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

X Dai, Z **ao, 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 …

Energy-efficient joint task offloading and resource allocation in OFDMA-based collaborative edge computing

L Tan, Z Kuang, L Zhao, A Liu - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) is an emergent architecture, which brings computation and
storage resources to the edge of mobile network and provides rich services and applications …

EPtask: Deep reinforcement learning based energy-efficient and priority-aware task scheduling for dynamic vehicular edge computing

P Li, Z **ao, X Wang, K Huang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The increasing complexity of vehicles has led to a growing demand for in-vehicle services
that rely on multiple sensors. In the Vehicular Edge Computing (VEC) paradigm, energy …

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 …

Joint task offloading and resource allocation in aerial-terrestrial UAV networks with edge and fog computing for post-disaster rescue

G Sun, L He, Z Sun, Q Wu, S Liang, J Li… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are playing an increasingly important role in assisting fast-
response post-disaster rescue due to their fast deployment, flexible mobility, and low cost …

Cooperative computation offloading and resource allocation for delay minimization in mobile edge computing

Z Kuang, Z Ma, Z Li, X Deng - Journal of Systems Architecture, 2021 - Elsevier
Mobile edge computing (MEC) is a promising paradigm, which brings computation
resources in proximity to mobile devices and allows the tasks of mobile devices to be …

Resource allocation in DT-assisted Internet of Vehicles via edge intelligent cooperation

T Liu, L Tang, W Wang, X He, Q Chen… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Applications in the Internet of Vehicles (IoV) are usually accompanied by ultralow network
response latency requirement. A promising approach to meet this demand is combining the …