Priority-Aware Deployment of Autoscaling Service Function Chains Based on Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Priority-Aware Deployment of Autoscaling Service Function Chains Based on Deep Reinforcement Learning

Published:2024-06 Issue:3 Volume:10 Page:1050-1062
ISSN:2332-7731
Container-title:IEEE Transactions on Cognitive Communications and Networking
language:
Short-container-title:IEEE Trans. Cogn. Commun. Netw.

Author:

Yu Xue¹^ORCID,Wang Ran¹^ORCID,Hao Jie¹^ORCID,Wu Qiang¹^ORCID,Yi Changyan¹^ORCID,Wang Ping²^ORCID,Niyato Dusit³^ORCID

Affiliation:

1. College of Computer Science and Technology and the Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, ON, Canada

3. School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Industry-University-Research Cooperation Fund project of ZTE

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6687307/10551670/10414018.pdf?arnumber=10414018

Reference34 articles.

1. Priority-Aware Deployment of Multi-objective Service Function Chains

2. An Approach for Service Function Chain Routing and Virtual Function Network Instance Migration in Network Function Virtualization Architectures

3. Network Function Virtualization

4. Spectrum Sharing for 5G/6G URLLC: Research Frontiers and Standards

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