On using Deep Reinforcement Learning for Multi-Domain SFC placement-Reference-Cited by-同舟云学术

On using Deep Reinforcement Learning for Multi-Domain SFC placement

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Global Communications Conference (GLOBECOM)
language:
Short-container-title:

Author:

Toumi Nassima¹,Bagaa Miloud²,Ksentini Adlen¹

Affiliation:

1. EURECOM,Sophia-Antipolis,France

2. CSC-IT Center for Science Ltd.,Espoo,Finland

Funder

European Union's H2020 MonB5G

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9685019/9685006/09685367.pdf?arnumber=9685367

Reference20 articles.

1. NFVdeep

2. Multi-agent deep reinforcement learning based virtual resource allocation through network function virtualization in internet of things;shah;IEEE Internet of Things Journal,2020

3. Reinforcement Learning for Service Function Chain Reconfiguration in NFV-SDN Metro-Core Optical Networks

4. A Reinforcement Learning Based Approach for 5G Network Slicing Across Multiple Domains

5. Policy Controlled Multi-domain cloud-network Slice Orchestration Strategy based on Reinforcement Learning

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