Network Traffic Classification and QoS Optimisation Method based on Deep Learning

Key Points

• The central aim is to develop a method for classifying network traffic and optimizing quality of service using deep learning techniques.
• Utilization of deep learning models for network traffic classification.
• Application of algorithms for quality of service optimization.
• Analysis of network data to evaluate performance improvements.
• Improved accuracy in network traffic classification using deep learning methods.
• Enhanced quality of service metrics observed post-optimization.
• Demonstrated efficiency gains in network management processes.