Hierarchical Multi-Agent Deep Reinforcement Learning for SFC Placement on Multiple Domains-Reference-Cited by-同舟云学术

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Hierarchical Multi-Agent Deep Reinforcement Learning for SFC Placement on Multiple Domains

Published:2021-10-04 Issue: Volume: Page:
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Container-title:2021 IEEE 46th Conference on Local Computer Networks (LCN)
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Author:

Toumi Nassima,Bagaa Miloud,Ksentini Adlen

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9524874/9524875/09524980.pdf?arnumber=9524980

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-objective Service Function Chain placement in 5G cellular networks based on meta-heuristic approach;Simulation Modelling Practice and Theory;2024-05

2. On-Policy Versus Off-Policy Reinforcement Learning for Multi-Domain SFC Embedding in SDN/NFV-Enabled Networks;IEEE Access;2024

3. Reinforcement Learning-Based Security Orchestration for 5G-V2X Network Slicing at Cross-Borders;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

4. Multi-Domain Network Service Placement Optimization Using Curriculum Reinforcement Learning;2023 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN);2023-11-07

5. Look-Ahead VNF-FG Embedding Framework for Latency-Sensitive Network Services;IEEE Transactions on Network and Service Management;2023-09

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