Management and orchestration of edge computing for IoT: A comprehensive survey
With the development of telecommunication technologies and the proliferation of network
applications in the past decades, the traditional cloud network architecture becomes unable …
applications in the past decades, the traditional cloud network architecture becomes unable …
Dynamic task software caching-assisted computation offloading for multi-access edge computing
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 …
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 …
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 …
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
Serverless architecture enables various intelligent applications to be run without managing
infrastructure. In this architecture, the computing cost is generally proportional to the number …
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
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 …
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
With the rapid development of wireless communication, achieving the neXt generation Ultra-
Reliable and Low-Latency Communications (xURLLC) in 6G mobile communication …
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 …
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
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 …
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 …
provide spatio-temporal coverage for low-carbon operation in smart park. Edge-end …