Server and Route Selection Optimization for Knowledge-Defined Distributed Network Based on Gambling Theory and LSTM Neural Networks-Reference-Cited by-同舟云学术

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Server and Route Selection Optimization for Knowledge-Defined Distributed Network Based on Gambling Theory and LSTM Neural Networks

Published:2023-12-04 Issue: Volume:39 Page:413-418
ISSN:
Container-title:GLOBECOM 2023 - 2023 IEEE Global Communications Conference
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Author:

Duong Son¹,Nguyen Tuan¹,Hoang Nam-Thang¹,Tong Van²,Tran Hai-Anh²^ORCID,Nguyen Giang²,Mellouk Abdelhamid³,Tran Truong⁴^ORCID

Affiliation:

1. Hanoi University of Civil Engineering,Faculty of Information Technology,Vietnam

2. School of Information and Communication Technology, Hanoi University of Science and Technology,Vietnam

3. University of Paris-Est Creteil, LISSI, Tinc-NET,Vitry-sur-Seine,France,F-94400

4. School of Science, Engineering, and Technology, Penn State University,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10436708/10436716/10437727.pdf?arnumber=10437727

Reference12 articles.

1. A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges

2. MABRESE: A New Server Selection Method for Smart SDN-Based CDN Architecture

3. Round-robin based load balancing in software defined networking;Kaur,2015

4. Efficient decision-making by volume-conserving physical object

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