Artificial intelligence enabled software‐defined networking: a comprehensive overview

M Latah, L Toker - IET networks, 2019 - Wiley Online Library
Software‐defined networking (SDN) represents a promising networking architecture that
combines central management and network programmability. SDN separates the control …

DROM: Optimizing the routing in software-defined networks with deep reinforcement learning

C Yu, J Lan, Z Guo, Y Hu - IEEE Access, 2018 - ieeexplore.ieee.org
This paper proposes DROM, a deep reinforcement learning mechanism for Software-
Defined Networks (SDN) to achieve a universal and customizable routing optimization …

Systematic review about QoS and QoE in telemedicine and eHealth services and applications

I De La Torre Díez, SG Alonso, S Hamrioui… - Journal of medical …, 2018 - Springer
The provision of Quality of Service (QoS) and Quality of Experience (QoE) is a mandatory
requirement when transmitting telemedicine traffic, due to information relevance to maintain …

Intelligent routing method based on Dueling DQN reinforcement learning and network traffic state prediction in SDN

L Huang, M Ye, X Xue, Y Wang, H Qiu, X Deng - Wireless Networks, 2024 - Springer
The traditional routing method makes use of limited information on the network links to make
routing decisions, which makes it difficult to adapt to the dynamic and complex network and …

IHSF: An intelligent solution for improved performance of reliable and time-sensitive flows in hybrid SDN-based FC IoT systems

M Ibrar, L Wang, GM Muntean, J Chen… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
The integration of software-defined networking (SDN) into legacy networks causes both
operational and deployment issues. In this context, this article proposes a novel approach …

Deep Q-Network and traffic prediction based routing optimization in software defined networks

EH Bouzidi, A Outtagarts, R Langar… - Journal of Network and …, 2021 - Elsevier
Abstract Software Defined Networking (SDN) is gaining momentum not only in research but
also in IT industry representing the drivers of 5G networks, due to its capabilities of …

Applying software-defined networking to support telemedicine health consultation during and post Covid-19 era

BA Jnr, LO Nweke, MA Al-Sharafi - Health and technology, 2021 - Springer
The novel coronavirus disease-19 (COVID-19) infection has altered the society, economy,
and entire healthcare system. Whilst this pandemic has presented the healthcare system …

RT-TelSurg: Real time telesurgery using SDN, fog, and cloud as infrastructures

S Sedaghat, AH Jahangir - IEEE Access, 2021 - ieeexplore.ieee.org
This paper proposes a novel and efficient real time network architecture, named RT-TelSurg,
for one of the most appealing tactile Internet applications, ie, Telesurgery. In telesurgery, the …

Deep reinforcement learning application for network latency management in software defined networks

EH Bouzidi, A Outtagarts… - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
The centralization of network intelligence enabled by Software Defined Networking (SDN),
and the recent breakthroughs of Machine Learning (ML), paved the way to address a variety …

Enhancing network cluster synchronization capability based on artificial immune algorithm

T Chen, J Shi, J Yang, G Li - Human-centric Computing and Information …, 2019 - Springer
With the deeper study on complex networks, more and more attention has been paid to the
research on the cluster synchronization phenomena based on complex networks. In the real …