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 paper 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 paper 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.

Construction of a digital library of vocal music resources based on second-order data decomposition algorithm

“…Literature [10] reveals the effect of resource-oriented music therapy, pointing out that this music therapy pays more attention to experience and feelings, and when the interviewees realize that it is psychotherapy, the effect of music intervention will be greatly reduced. Literature [11] conceived a music resource optimization strategy with edge computing principles as the core logic and conducted inspection tests in several music terminal cases to verify the efficiency of the proposed music resource optimization strategy. Literature [12] builds a fog computing architecture by drawing on the human neural system framework and analyzes the resource contribution system and resource allocation system in the music and dance resource management model, and finally confirms the excellent performance of the proposed music and dance resource library management system in functional simulation experiments and numerical tests, which is characterized by fast response and large transmission capacity.…”