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 (...

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Veröffentlicht in:	IEEE/IFIP Network Operations and Management Symposium S. 1 - 6
Hauptverfasser:	Esteves, Jose Jurandir Alves, Boubendir, Amina, Guillemin, Fabrice, Sens, Pierre
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 08.05.2023
Schlagworte:	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
Online-Zugang:	Volltext
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