Real Time Congestion Control and Simulation of Large-Scale Video Conference System Based on GRU Algorithm
Yuanfeng Wang · Procedia Computer Science · 2024
The comprehensive performance and user experience of large-scale distributed video conference systems are constrained by network traffic, and conventional network services are difficult to ensure the stability and reliability of the above data transmission activities. This article combines conference video transmission and congestion control related technologies to propose a conference video traffic prediction model based on the large neural network GRU algorithm, and constructs a large-scale distributed video conference transmission congestion control mode on this basis. The simulation experiments on the real-time congestion control model of research results show that it effectively avoids system fluctuations and significantly improves the user experience, providing a feasible method for improving the comprehensive performance of large-scale distributed video conference systems.