Research on resource optimization of music multi-terminal based on edge computing

Abstract

The development of mobile cloud computing has increased the number of smart terminals and the computing power of processors. More and more music-type applications are loaded into the cloud, which puts a huge load on the core network. In order to solve the problem of insufficient computing resource optimization of existing music terminals, this article proposes a resource optimization scheme based on edge computing. First, we propose a music multi-terminal architecture through a wireless sensor network to perform wireless transmission of related data and information. Secondly, we propose a music multi-terminal resource optimization model based on edge computing, which can perform fast computing and storage tasks at the edge of the music wireless network. Finally, this article verifies the feasibility and effectiveness of the scheme by analyzing the test results of music multi-terminal cases. This technology can effectively improve the efficiency level of existing music multi-terminal resource optimization, and provide a certain reference for the development of music terminals.