Task offloading strategies for mobile edge computing: A survey

S Dong, J Tang, K Abbas, R Hou, J Kamruzzaman… - Computer Networks, 2024 - Elsevier
With the wide adoption of 5G technology and the rapid development of 6G technology, a
variety of new applications have emerged. A multitude of compute-intensive and time …

Robust computation offloading and trajectory optimization for multi-UAV-assisted MEC: A multi-agent DRL approach

B Li, R Yang, L Liu, J Wang, N Zhang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
For multiple unmanned-aerial-vehicles (UAVs)-assisted mobile-edge computing (MEC)
networks, we study the problem of combined computation and communication for user …

Towards cost-effective and robust AI microservice deployment in edge computing environments

C Wu, Q Peng, Y Xia, Y Jin, Z Hu - Future Generation Computer Systems, 2023 - Elsevier
As a newly emerged promising computing paradigm, Multi-access Edge Computing (MEC)
is capable of energizing massive Internet-of-Things (IoT) devices around us and novel …

EDSP-edge: Efficient dynamic edge service entity placement for mobile virtual reality systems

X Chi, H Chen, G Li, Z Ni, N Jiang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
As one of the significant supporting technologies for mobile virtual reality (MVR), computer
vision is latency-sensitive and always requires real-time response and accurate object …

OL-EUA: Online user allocation for NOMA-based mobile edge computing

G Cui, Q He, X Xia, F Chen, F Dong… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) raises a variety of new challenges for app vendors, including
the Edge User Allocation (EUA) problem. EUA aims to allocate as many app users as …

Health monitoring and diagnosis for geo-distributed edge ecosystem in smart city

W Wen, U Demirbaga, A Singh, A Jindal… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With the increasing number of Internet of Things (IoT) devices being deployed and used in
daily life, the load on computational devices has grown exponentially. This situation is more …

Augmented intelligence of things for emergency vehicle secure trajectory prediction and task offloading

X Wu, J Dong, W Bao, B Zou, L Wang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Augmented Intelligence of Things (AIoT) combines augmented intelligence algorithms with
the massive data collected by IoT devices, enabling more advanced decision-making. The …

Computation offloading in multi-cell networks with collaborative edge-cloud computing: A game theoretic approach

L Wu, P Sun, Z Wang, Y Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the widespread application of 5G and the Internet of things (IoT), edge computing and
cloud computing have been collaboratively utilized for task offloading and processing …

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 …

Reveal: Robustness-aware VNF placement and request scheduling in edge clouds

J Fang, G Zhao, H Xu, H Tu, H Wang - Computer Networks, 2023 - Elsevier
In the edge cloud network, service providers place virtual network functions (VNFs) in edge
clouds to serve users' requests. Thus, it is essential to consider VNF placement and request …