Management and orchestration of edge computing for IoT: A comprehensive survey

Y Chiang, Y Zhang, H Luo, TY Chen… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With the development of telecommunication technologies and the proliferation of network
applications in the past decades, the traditional cloud network architecture becomes unable …

Dynamic task software caching-assisted computation offloading for multi-access edge computing

Z Chen, W Yi, AS Alam… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In multi-access edge computing (MEC), most existing task software caching works focus on
statically caching data at the network edge, which may hardly preserve high reusability due …

Federated deep reinforcement learning-based task offloading and resource allocation for smart cities in a mobile edge network

X Chen, G Liu - Sensors, 2022 - mdpi.com
Mobile edge computing (MEC) has become an indispensable part of the era of the intelligent
manufacturing industry 4.0. In the smart city, computation-intensive tasks can be offloaded to …

Deep reinforcement learning for computation and communication resource allocation in multiaccess MEC assisted railway IoT networks

J Xu, B Ai, L Chen, Y Cui… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Multi-access mobile edge computing (MEC) is envisioned as a key enabling technology to
support compute-intensive and delay-sensitive applications in railway Internet of Things …

Performance optimization of serverless computing for latency-guaranteed and energy-efficient task offloading in energy-harvesting industrial IoT

H Ko, S Pack, VCM Leung - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Serverless architecture enables various intelligent applications to be run without managing
infrastructure. In this architecture, the computing cost is generally proportional to the number …

A load-balanced and energy-efficient navigation scheme for UAV-mounted mobile edge computing

Z Wang, H Rong, H Jiang, Z Xiao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the development of Unmanned Aerial Vehicles (UAVs) in recent years, UAV-mounted
Mobile Edge Computing (MEC) systems are widely used for broadband connectivity and …

Automatic pipeline parallelism: A parallel inference framework for deep learning applications in 6G mobile communication systems

H Shi, W Zheng, Z Liu, R Ma… - IEEE Journal on Selected …, 2023 - ieeexplore.ieee.org
With the rapid development of wireless communication, achieving the neXt generation Ultra-
Reliable and Low-Latency Communications (xURLLC) in 6G mobile communication …

Federated deep reinforcement learning for task offloading and resource allocation in mobile edge computing-assisted vehicular networks

X Zhao, Y Wu, T Zhao, F Wang, M Li - Journal of Network and Computer …, 2024 - Elsevier
Mobile edge computing (MEC) enables computation intensive applications in the Internet of
Vehicles (IoV) to no longer be limited by device resources. However, the lack of an effective …

Digital twin-assisted edge service caching for consumer electronics manufacturing

W Liu, X Xu, L Qi, X Zhou, H Yan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In recent years, the consumer electronics manufacturing (CEM) has increasingly recognized
the role of the Internet of Things (IoT) in improving production efficiency and reducing costs …

Adaptive learning-based delay-sensitive and secure edge-end collaboration for multi-mode low-carbon power IoT

H Liao, Z Jia, R Wang, Z Zhou, F Wang… - China …, 2022 - ieeexplore.ieee.org
Multi-mode power internet of things (PIoT) combines various communication media to
provide spatio-temporal coverage for low-carbon operation in smart park. Edge-end …