RL-Edge Relocator: a Reinforcement Learning based approach 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/ielx7/10436708/10436716/10437065.pdf?arnumber=10437065
Reference18 articles.
1. Autonomous vehicle market by autonomy level, powertrain type, components, and supporting technologies including 5g, ai, and edge computing up to 2027,2023
2. Application Relocation in an Edge-Enabled 5G System: Use Cases, Architecture, and Challenges
3. 3GPP Technical Specification Group Services and System Aspects 23.748;Study on enhancement of support for Edge Computing in 5G Core network (5GC),2020
4. 5G-Edge Relocator: A Framework for Application Relocation in Edge-enabled 5G System
5. ETSI Group Specification;ETSI Multi-access Edge Computing: MEC 5G Integration,2020
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