A cross-modal high-resolution image generation approach based on cloud-terminal collaboration for low-altitude intelligent network
M Jiao, W Jiang, T Yuan, J Wang, Y Peng - Future Generation Computer …, 2024 - Elsevier
The advancement of digitization and automation in Low Altitude Intelligent Networking
(LAIN) is constrained by limited computational resources and the absence of a dedicated …
(LAIN) is constrained by limited computational resources and the absence of a dedicated …
An Energy-Efficient Dynamic Offloading Algorithm for Edge Computing Based on Deep Reinforcement Learning
K Zhu, S Li, X Zhang, J Wang, C Xie, F Wu… - IEEE Access, 2024 - ieeexplore.ieee.org
Mobile edge computing (MEC) represents a promising computing paradigm within Artificial
Intelligence Generated Content (AIGC), offering users instant, customized, and personalized …
Intelligence Generated Content (AIGC), offering users instant, customized, and personalized …
Online two-timescale service placement for time-sensitive applications in MEC-assisted network: A TMAGRL approach
A Du, J Jia, J Chen, L Guo, X Wang - Computer Networks, 2024 - Elsevier
Mobile edge computing (MEC) integrated with the Network Functions Virtualization (NFV)
technique has been regarded as a promising solution for flexible services provision and …
technique has been regarded as a promising solution for flexible services provision and …
Energy-aware tasks offloading based on DQN in medical mobile devices
M Zhao, J Lu - Journal of Cloud Computing, 2024 - Springer
Offloading some tasks from the local device to the remote cloud is one of the important
methods to overcome the drawbacks of the medical mobile device, such as the limitation in …
methods to overcome the drawbacks of the medical mobile device, such as the limitation in …
ECQ: An Energy-Efficient, Cost-Effective and Qos-Aware Method for Dynamic Service Migration in Mobile Edge Computing Systems
Mobile edge computing (MEC) is a transformative paradigm that enhances mobile services
performance and operational efficiency. Given the frequent mobility of users, it is essential to …
performance and operational efficiency. Given the frequent mobility of users, it is essential to …
Request Deadline Split and Interference‐Aware Request Migration in Edge Cloud
J Wang, H Yu, G Fan, J Zhang - Concurrency and Computation …, 2025 - Wiley Online Library
Edge computing extends computing resources from the data center to the edge of the
network to better handle latency‐sensitive tasks. However, with the rise of the Internet of …
network to better handle latency‐sensitive tasks. However, with the rise of the Internet of …
Dynamic service prioritization with predicted intervals for QoS-sensitive service migrations in MEC
S Velrajan, VC Sharmila - Service Oriented Computing and Applications, 2024 - Springer
Abstract Service migrations in Multi-access Edge Compute (MEC) infrastructure are complex
due to the geographically distributed infrastructure, limited availability of resources at the …
due to the geographically distributed infrastructure, limited availability of resources at the …
MEC-Hopper: DRL-Based Adaptive Multi-Hop Service Provisioning in UAV-Assisted MEC
DD Kulkarni, M Baser… - 2024 IEEE 100th Vehicular …, 2024 - ieeexplore.ieee.org
The advent of 5G has brought network slicing and Multi-access Edge Computing (MEC) to
the fore, which has enabled provisioning of various services at the network edge. With …
the fore, which has enabled provisioning of various services at the network edge. With …
Deep Predictive User Path-Inclusive Service Mobility in B5G/6G Edge Clouds
Multi-access Edge Computing (MEC)-enabled Beyond 5G (B5G) or 6G networks require
service migration to maintain service continuity and acceptable quality of experience for high …
service migration to maintain service continuity and acceptable quality of experience for high …