DRL-D: Revenue-Aware Online Service Function Chain Deployment via Deep Reinforcement Learning-Reference-Cited by-同舟云学术

DRL-D: Revenue-Aware Online Service Function Chain Deployment via Deep Reinforcement Learning

Published:2022-12 Issue:4 Volume:19 Page:4531-4545
ISSN:1932-4537
Container-title:IEEE Transactions on Network and Service Management
language:
Short-container-title:IEEE Trans. Netw. Serv. Manage.

Author:

Fan Qilin¹^ORCID,Pan Pan¹,Li Xiuhua²^ORCID,Wang Sen¹,Li Jian³^ORCID,Wen Junhao³^ORCID

Affiliation:

1. School of Big Data and Software Engineering and the Key Laboratory of Dependable Service Computing in Cyber Physical Society of Ministry of Education, Chongqing University, Chongqing, China

2. School of Big Data and Software Engineering, Chongqing University, Chongqing, China

3. Department of Electrical and Computer Engineering, Binghamton University, State University of New York at Binghamton, Binghamton, NY, USA

Funder

National Key Research and Development Program of China

National NSFC

Chongqing Research Program of Basic Research and Frontier Technology

Key Research Program of Chongqing Science & Technology Commission

Natural Science Foundation Projects in Chongqing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/4275028/10034788/09790866.pdf?arnumber=9790866

Reference39 articles.

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3. Multiple service function chaining under load balance in SDN/NFV networks

4. Reinforcement learning: An introduction;sutton;IEEE Trans Neural Netw,1998

5. Automatic Virtual Network Embedding: A Deep Reinforcement Learning Approach With Graph Convolutional Networks

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