Load Balancing Optimization in Software-Defined Wide Area Networking (SD-WAN) using Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Load Balancing Optimization in Software-Defined Wide Area Networking (SD-WAN) using Deep Reinforcement Learning

Published:2022-11-10 Issue: Volume: Page:
ISSN:
Container-title:2022 International Symposium on Electronics and Telecommunications (ISETC)
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Author:

Ouamri Mohamed Amine¹,Barb Gordana²,Singh Daljeet³,Alexa Florin²

Affiliation:

1. Grenoble Alpes university,Computer Communication, LIG Laboratory, DRAKKAR Teams,Grenoble,France

2. Politehnica University Timisoara,Faculty of Electronics, Telecommunication and Information Technologies,Timisoara,Romania

3. Centre for Space Research, School of Electronics and Electrical Engineering, Lovely Professional University,Department of Research and Development,Phagwara,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10009907/10009039/10010335.pdf?arnumber=10010335

Reference16 articles.

1. Optimal VNF Placement via Deep Reinforcement Learning in SDN/NFV-Enabled Networks

2. Deep Reinforcement Learning for Load-Balancing Aware Network Control in IoT Edge Systems

3. The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective

4. Feedback Deep Deterministic Policy Gradient With Fuzzy Reward for Robotic Multiple Peg-in-Hole Assembly Tasks

5. Semicentralized Deep Deterministic Policy Gradient in Cooperative StarCraft Games

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