Energy Efficient VNF-FG Embedding via Attention-Based Deep Reinforcement Learning
Author:
Affiliation:
1. Institut Poly technique de Paris,Telecom SudParis, SAMOVAR,France
2. OS-Consulting,Athis Mons,France
3. National Engineering School of Sfax, University of Sfax,ReDCAD Lab,Tunisia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10327686/10327788/10327825.pdf?arnumber=10327825
Reference34 articles.
1. Multi-domain non-cooperative VNF-FG embedding: A deep reinforcement learning approach
2. NFV deep: Adaptive online service function chain deployment with deep reinforcement learning;xiao;Proceedings of the International Sym-posium on Quality of Service,2019
3. NFV Orchestration Framework Addressing SFC Challenges
4. Energy-efficient VNF deployment for graph-structured SFC based on graph neural network and constrained deep reinforcement learning;siyu;IEEE A PNOMS,2021
5. A research on dynamic service function chaining based on reinforcement learning using resource usage
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1. Energy-Aware VNF-FG Placement with Transformer-based Deep Reinforcement Learning;NOMS 2024-2024 IEEE Network Operations and Management Symposium;2024-05-06
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