DSOQR: Deep Reinforcement Learning for Online QoS Routing in SDN‐Based Networks
L Zhang, Y Lu, D Zhang, H Cheng… - Security and …, 2022 - Wiley Online Library
With the rapid development of mobile communication technology, there are an increasing
number of new network applications and services, and the existing best‐effort routing …
number of new network applications and services, and the existing best‐effort routing …
Deep reinforcement learning based QoS-aware routing in knowledge-defined networking
Abstract Knowledge-Defined networking (KDN) is a concept that relies on Software-Defined
networking (SDN) and Machine Learning (ML) in order to operate and optimize data …
networking (SDN) and Machine Learning (ML) in order to operate and optimize data …
Survey on reinforcement learning based efficient routing in SDN
Traffic on the Internet is growing exponentially around the globe, and SDN (Software
Defined Network) becomes very attractive to network research communities. The trend …
Defined Network) becomes very attractive to network research communities. The trend …
DQR: Deep Q-routing in software defined networks
SQ Jalil, MH Rehmani, S Chalup - 2020 International Joint …, 2020 - ieeexplore.ieee.org
In this paper, we investigate the task of quality of service (QoS) routing in software defined
networks (SDN). We consider delay, bandwidth, loss, and cost as QoS parameters. We …
networks (SDN). We consider delay, bandwidth, loss, and cost as QoS parameters. We …
Rlmr: reinforcement learning based multipath routing for sdn
In recent years, as a new subject in the computer field, artificial intelligence has developed
rapidly, especially in reinforcement learning (RL) and deep reinforcement learning …
rapidly, especially in reinforcement learning (RL) and deep reinforcement learning …
CoDRL: Intelligent packet routing in SDN using convolutional deep reinforcement learning
P Swain, U Kamalia, R Bhandarkar… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Software Defined Networking (SDN) provides opportunities for flexible and dynamic traffic
engineering. However, in current SDN systems, routing strategies are based on traditional …
engineering. However, in current SDN systems, routing strategies are based on traditional …
A framework for QoS-based routing in SDNs using deep learning
AI Owusu, A Nayak - 2020 International Symposium on …, 2020 - ieeexplore.ieee.org
Due to speedy increase in IoT devices, bandwidth intensive applications, voice and video
streaming services as well as high speed gaming services on the internet, providing QoS …
streaming services as well as high speed gaming services on the internet, providing QoS …
Intelligent traffic control for QoS optimization in hybrid SDNs
X Huang, M Zeng, K Xie - Computer Networks, 2021 - Elsevier
Abstract Software Defined Networking (SDN) provides a flexible way to control traffic in
networks and it is seen a rapid increase among network operators in adoption of SDN …
networks and it is seen a rapid increase among network operators in adoption of SDN …
[HTML][HTML] AQROM: A quality of service aware routing optimization mechanism based on asynchronous advantage actor-critic in software-defined networks
Abstract In Software-Defined Networks (SDNs), determining how to efficiently achieve
Quality of Service (QoS)-aware routing is challenging but critical for significantly improving …
Quality of Service (QoS)-aware routing is challenging but critical for significantly improving …
Reinforcement learning-driven QoS-aware intelligent routing for software-defined networks
MB Hossain, J Wei - 2019 IEEE global conference on signal …, 2019 - ieeexplore.ieee.org
Software-defined network (SDN) is an emerging computer networking technology that
disjoints the data forwarding from the centralized control and enables a highly manageable …
disjoints the data forwarding from the centralized control and enables a highly manageable …