5G-Edge Relocator: A Framework for Application Relocation in Edge-enabled 5G System
Author:
Affiliation:
1. Orange Poland,Warsaw,Poland
2. Orange Innovation,Châtillon,France
3. Warsaw University of Technology,Warsaw,Poland
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10278505/10278554/10279418.pdf?arnumber=10279418
Reference24 articles.
1. Using Deep Reinforcement Learning for Application Relocation in Multi-Access Edge Computing
2. Mobility Aware and Dynamic Migration of MEC Services for the Internet of Vehicles
3. Follow Me at the Edge: Mobility-Aware Dynamic Service Placement for Mobile Edge Computing
4. Differentiated Service/Data Migration for Edge Services Leveraging Container Characteristics
5. SDN-Based Service Mobility Management in MEC-Enabled 5G and Beyond Vehicular Networks
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Design and Implementation of Microservice Migration at the Edge;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21
2. RL-Edge Relocator: a Reinforcement Learning based approach for Application Relocation in Edge-enabled 5G System;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04
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