Optimizing Network Slicing in Distributed Large Scale Infrastructures: From Heuristics to Controlled Deep Reinforcement Learning

This paper summarizes the PhD thesis and the 10 associated publications on the optimization of network slice placement in large-scale distributed infrastructures by focusing on online heuristics and approaches based on Deep Reinforcement Learning (DRL). First, we rely on Integer Linear Programming (...

Celý popis

Podrobná bibliografia

Vydané v:	IEEE/IFIP Network Operations and Management Symposium s. 1 - 6
Hlavní autori:	Esteves, Jose Jurandir Alves, Boubendir, Amina, Guillemin, Fabrice, Sens, Pierre
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 08.05.2023
Predmet:	Automation Deep learning Deep Reinforcement Learning Focusing Heuristics Integer linear programming Large-scale infrastructures Network Functions Virtualization Network slicing Optimization Placement Reinforcement learning Scalability
ISSN:	2374-9709
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!