About this document
Machine Learning Load Balancing in SDN by Sou Eu is a document available to read on EtoBox.
This paper presents a model for load balancing and segment routing in Software Defined Networks (SDN) using machine learning techniques. It addresses the challenges of managing increasing network devices by proposing a dynamic load balancing model that reduces overall network load and improves routing efficiency. The model integrates various machine learning algorithms to predict network traffic and optimize flow paths, enhancing the adaptability and performance of SDN environments.
- Author
- Sou Eu
- Language
- EN