Deep Reinforcement Learning for AoI Aware VNF Placement in Multiple Source Systems-Reference-Cited by-同舟云学术

Deep Reinforcement Learning for AoI Aware VNF Placement in Multiple Source Systems

Published:2022-12-04 Issue: Volume: Page:
ISSN:
Container-title:GLOBECOM 2022 - 2022 IEEE Global Communications Conference
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Author:

Chen Zhenke¹,Li He¹,Ota Kaoru¹,Dong Mianxiong¹

Affiliation:

1. Muroran Institute of Technology,Department of Sciences and Informatics,Muroran,Hokkaido, Japan

Funder

JSPS KAKENHI

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10000063/10000593/10001066.pdf?arnumber=10001066

Reference18 articles.

1. Adaptive service function chaining mappings in 5G using deep Q-learning

2. Multi-domain non-cooperative vnf-fg embedding: A deep reinforcement learning approach;pham;INFOCOM 2019-IEEE International Conference on Computer Communications,0

3. Virtual Network Function Placement Optimization With Deep Reinforcement Learning

4. Scheduling Policies for Minimizing Age of Information in Broadcast Wireless Networks

5. Cost-Efficient VNF Placement and Scheduling in Public Cloud Networks

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