Intelligent SDN Routing: A Threshold-Based and LSTM-Enhanced Deep Q-Network Routing Algorithm-Reference-Cited by-同舟云学术

Intelligent SDN Routing: A Threshold-Based and LSTM-Enhanced Deep Q-Network Routing Algorithm

Published:2023-11-17 Issue: Volume: Page:188-195
ISSN:
Container-title:Proceedings of the 2023 International Conference on Electronics, Computers and Communication Technology
language:
Short-container-title:

Author:

Liu Bo¹^ORCID,Yang Bo²^ORCID,Sun Runyuan¹^ORCID,Liang Zhifeng³^ORCID,Sun Zhenxiang⁴^ORCID,Li Zhenyu⁴^ORCID

Affiliation:

1. School of Information Science and Engineering, University of Jinan, China and Shandong Provincial KeyLaboratory of Network Based Intelligent Computing, University of Jinan, China

2. Quancheng Laboratory, China and School of Information Science and Engineering, University of Jinan, China

3. Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, China

4. School of Information Science and Engineering, University of Jinan, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637494.3638727

Reference26 articles.

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2. Park, J. , Hwang, J. , & Yeom, K. . (2019). Nsaf: an approach for ensuring application-aware routing based on network qos of applications in sdn. Mobile Information Systems.

3. A QoS-aware routing in SDN hybrid networks

4. Shirmarz, A. , & Ghaffari, A. . (2020). An adaptive greedy flow routing algorithm for performance improvement in software‐defined network. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 33.

5. An Efficient Route Management Framework for Load Balance and Overhead Reduction in SDN-Based Data Center Networks

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