Scalable Orchestration of Service Function Chains in NFV-Enabled Networks: A Federated Reinforcement Learning Approach

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	2558-2571
Number of pages	0
Journal	IEEE Journal on Selected Areas in Communications
Volume	39
Issue number	8
DOIs	https://doi.org/10.1109/jsac.2021.3087227
Publication status	Published - Aug 2021

Access to Document

@article{474abcc670a746a7b8d919db7c0566af,

title = "Scalable Orchestration of Service Function Chains in NFV-Enabled Networks: A Federated Reinforcement Learning Approach",

author = "Haojun Huang and Cheng Zeng and Yangmin Zhao and Geyong Min and Yingying Zhu and Wang Miao and Jia Hu",

year = "2021",

month = aug,

doi = "10.1109/jsac.2021.3087227",

language = "English",

volume = "39",

pages = "2558--2571",

journal = "IEEE Journal on Selected Areas in Communications",

issn = "0733-8716",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "8",

}

TY - JOUR

T1 - Scalable Orchestration of Service Function Chains in NFV-Enabled Networks: A Federated Reinforcement Learning Approach

AU - Huang, Haojun

AU - Zeng, Cheng

AU - Zhao, Yangmin

AU - Min, Geyong

AU - Zhu, Yingying

AU - Miao, Wang

AU - Hu, Jia

PY - 2021/8

Y1 - 2021/8

U2 - 10.1109/jsac.2021.3087227

DO - 10.1109/jsac.2021.3087227

M3 - Article

SN - 0733-8716

VL - 39

SP - 2558

EP - 2571

JO - IEEE Journal on Selected Areas in Communications

JF - IEEE Journal on Selected Areas in Communications

IS - 8

ER -