Q-DATA: Enhanced Traffic Flow Monitoring in Software-Defined Networks applying Q-learning-Reference-Cited by-同舟云学术

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Q-DATA: Enhanced Traffic Flow Monitoring in Software-Defined Networks applying Q-learning

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 15th International Conference on Network and Service Management (CNSM)
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Author:

Phan Trung V.,Islam Syed Tasnimul,Nguyen Tri Gia,Bauschert Thomas

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8977268/9012657/09012727.pdf?arnumber=9012727

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AI-Enabled Traffic Control Prioritization in Software-Defined IoT Networks for Smart Agriculture;Sensors;2023-10-02

2. Traffic flow monitoring in software-defined network using modified recursive learning;Physical Communication;2023-04

3. Software Defined Networking Concept (SDN) Based on Artificial Intelligence: Taxonomy of Methods and Future Directions;Advances on Intelligent Computing and Data Science;2023

4. GLSNN Network: A Multi-Scale Spatiotemporal Prediction Model for Urban Traffic Flow;Sensors;2022-11-17

5. Reinforcement Learning's Contribution to the Cyber Security of Distributed Systems;Research Anthology on Convergence of Blockchain, Internet of Things, and Security;2022-07-08

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