5G power virtual private network test service management platform resource scheduling and optimization algorithm

In practical applications, 5G power virtual private networks face many challenges, and how to reasonably allocate network resources according to business needs has become one of the key issues that need to be solved urgently. Therefore, this paper constructs a resource optimization scheduling model and studies the resource scheduling and optimization algorithm of the 5G power virtual private network test service management platform. The article first establishes the objective optimization function and constraint conditions, comprehensively considering the service quality of network business, network energy consumption, and business delay, and then uses genetic algorithms to solve the resource optimization scheduling model. Finally, through simulation analysis, the performance of the established resource optimization scheduling model is evaluated. After optimization, the average throughput and average network utilization growth of the 5G power virtual private network have increased by more than 20%, and the overall network performance has been significantly improved, indicating that the model can significantly improve the utilization efficiency of network resources, reduce business delay, and improve the stability and security of the network.