Research and Development of Algorithms for Improving Fault Tolerance in SDN Networks Based on Artificial Intelligence

The purpose of the work is to research and develop algorithms for improving fault tolerance in SDN networks based on artificial intelligence. The paper presents a study of existing algorithms for fault tolerance in SDN networks based on artificial intelligence, a review of the concept of fault tolerance and load balancing in SDN networks, a review of algorithms for fault tolerance and traffic balancing. Traffic load balancing load distribution model is described, load balancing evaluation criteria. The model of traffic load balancing based on machine learning algorithms is investigated. Experimental studies of the traffic load balancing model based on machine learning algorithms are given.