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Article

RMHIL: A Rule Matching Algorithm Based on Heterogeneous Integrated Learning in Software Defined Network

1
Command and Control Engineering College, People’s Liberation Army Engineering University, Nanjing 210007, China
2
Unit 31106 of People’s Liberation Army, Nanjing 210007, China
*
Author to whom correspondence should be addressed.
Academic Editor: Hsiao-Chun Wu
Sensors 2022, 22(13), 4739; https://doi.org/10.3390/s22134739
Received: 7 May 2022 / Revised: 9 June 2022 / Accepted: 21 June 2022 / Published: 23 June 2022
(This article belongs to the Section Sensor Networks)
To ensure the efficient operation of large-scale networks, the flow scheduling in the software defined network (SDN) requires the matching time and memory overhead of rule matching to be as low as possible. To meet the requirement, we solve the rule matching problem by integrating machine learning methods, including recurrent neural networks, reinforcement learning, and decision trees. We first describe the SDN rule matching problem and transform it into a heterogeneous integrated learning problem. Then, we design and implement an SDN flow forwarding rule matching algorithm based on heterogeneous integrated learning, referred to as RMHIL. Finally, we compare RMHIL with two existing algorithms, and the comparative experimental results show that RMHIL has advantages in matching time and memory overhead. View Full-Text
Keywords: SDN; flow forwarding; rule matching; heterogeneous integrated learning SDN; flow forwarding; rule matching; heterogeneous integrated learning
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MDPI and ACS Style

Guo, Y.; Hu, G.; Shao, D. RMHIL: A Rule Matching Algorithm Based on Heterogeneous Integrated Learning in Software Defined Network. Sensors 2022, 22, 4739. https://doi.org/10.3390/s22134739

AMA Style

Guo Y, Hu G, Shao D. RMHIL: A Rule Matching Algorithm Based on Heterogeneous Integrated Learning in Software Defined Network. Sensors. 2022; 22(13):4739. https://doi.org/10.3390/s22134739

Chicago/Turabian Style

Guo, Yiping, Guyu Hu, and Dongsheng Shao. 2022. "RMHIL: A Rule Matching Algorithm Based on Heterogeneous Integrated Learning in Software Defined Network" Sensors 22, no. 13: 4739. https://doi.org/10.3390/s22134739

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