Research on resource allocation of vocal music teaching system based on mobile edge computing

How to allocate vocal teaching system resources plays an important role in improving the performance of vocal teaching systems. With the development of mobile edge computing, the calculation and storage of resource data can be adapted to the operating needs of vocal teaching systems. This study proposes a method of system resource allocation based on power iteration and sets the throughput of the unloading process as an objective function and realizes the optimal allocation of normal power by iterative optimization. At the same time, in view of the low energy efficiency and resource utilization of edge servers, a heterogeneous network based on edge servers is proposed to find the optimal strategy based on ensuring the Nash equilibrium point. In addition, in order to verify the performance of the algorithm in this paper, a comparative experiment is performed by designing simulation experiments. The results show that the method proposed in this paper has certain effects and strong practicability, which can provide theoretical references for subsequent related research.