An Adaptive Deep Q-Learning Strategy for Routing Schemes in SDN-Based Data Centre Networks-Reference-Cited by-同舟云学术

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An Adaptive Deep Q-Learning Strategy for Routing Schemes in SDN-Based Data Centre Networks

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)
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Author:

Li Jian¹,Wang Shuoyu²,Huang Yubo³,Liao Kai⁴,Bi Feili¹,Lou Xia⁵

Affiliation:

1. College of Mathematics and Information Science Guiyang University,Guiyang,China

2. College of Information Science and Technology Tibet University,Lasa,China

3. College of Civil Engineering Southwest Jiaotong University,Chengdu,China

4. College of Big Data and Information Engineering Guizhou University,Guiyang,China

5. Guizhou Vocational College of Applied Technology,Fuquan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10071144/10070857/10071192.pdf?arnumber=10071192

Reference20 articles.

1. Deep Q-Learning for Routing Schemes in SDN-Based Data Center Networks

2. Overhead reduction scheme for SDN-based Data Center Networks

3. An SDN-based Hybrid Strategy for Load Balancing in Data Center Networks

4. An optimal and dynamic elephant flow scheduling for SDN-based data center networks

5. Equal-Cost Multipath Routing in Data Center Network Based on Software Defined Network

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1. Deployment Strategy for Multiple Controllers Based on the Aviation On-Board Software-Defined Data Link Network;Computers, Materials & Continua;2023

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