Machine learning for service migration: a survey

N Toumi, M Bagaa, A Ksentini - IEEE Communications Surveys …, 2023 - ieeexplore.ieee.org
Future communication networks are envisioned to satisfy increasingly granular and dynamic
requirements to accommodate the application and user demands. Indeed, novel immersive …

Energy-delay minimization of task migration based on game theory in MEC-assisted vehicular networks

H Wang, T Lv, Z Lin, J Zeng - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
Roadside units (RSUs), which have strong computing capability and are close to vehicle
nodes, have been widely used to process delay-and computation-intensive tasks of vehicle …

Digital twin-assisted and mobility-aware service migration in mobile edge computing

E Bozkaya - Computer Networks, 2023 - Elsevier
Abstract Mobile Edge Computing (MEC) is emerging as one of the key technologies to
process massive amount of data at the edge of the network for upcoming 6G networks. In the …

Federated-learning-based energy-efficient load balancing for UAV-enabled MEC system in vehicular networks

A Shin, Y Lim - Energies, 2023 - mdpi.com
At present, with the intelligence that has been achieved in computer and communication
technologies, vehicles can provide many convenient functions to users. However, it is …

A jointly non-cooperative game-based offloading and dynamic service migration approach in mobile edge computing

C Li, Q Zhang, Y Luo - Knowledge and Information Systems, 2023 - Springer
With the increase in the use of compute-intensive applications, the demand to continuously
boost the efficiency of data processing increases. Offloading the compute-intensive …

Intelligent Service Migration for the Internet of Vehicles in Edge Computing: A Mobility-Aware Deep Reinforcement Learning Framework

K Hua, S Su, Y Wang - Computer Networks, 2024 - Elsevier
The restricted coverage of edge servers in the Internet of Vehicles (IoV) results in service
migration as vehicles traverse various regions, potentially escalating operational costs and …

A QoS-Aware DRL-Based Service Switching Approach for Vehicular Edge Computing

X Wang, Z Qiu, Y Li, H Qin… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
To meet the requirements of low latency and high reliability of vehicular computing,
vehicular services need to be offloaded to multi-access edge computing (MEC) servers …

A Survey on Service Migration Strategies for Vehicular Edge Computing

Z Song, Y Fan, Y Cai - International Conference on Big Data and Security, 2021 - Springer
Abstract Vehicular Edge Computing (VEC) is a promising technology to place services on
side of the road to improve the quality of service (QoS) for users. It has advantages over …