Deep Multi-Agent Reinforcement Learning With Minimal Cross-Agent Communication for SFC Partitioning

Deep Multi-Agent Reinforcement Learning With Minimal Cross-Agent Communication for SFC Partitioning

Network Function Virtualization (NFV) decouples network functions from the underlying specialized devices, enabling network processing with higher flexibility and resource efficiency. This promotes the use of virtual network functions (VNFs), which can be grouped to form a service function chain (SF...

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Bibliographic Details
Main Authors: Angelos Pentelas, Danny De Vleeschauwer, Chia-Yu Chang, Koen De Schepper, Panagiotis Papadimitriou
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Multi-agent reinforcement learning
network function virtualization
self-learning orchestration
Online Access:https://ieeexplore.ieee.org/document/10107385/

Internet

https://ieeexplore.ieee.org/document/10107385/

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