Construction and Application of Local Music Database Based on Biotechnology Big Data Analysis

Aihua Zhang
Nanjing University of the Arts, Nanjing, Jiangsu, China, 210009.

Abstract:

In order to improve the construction effect of local music database, this paper combines the construction of local music database with biotechnology big data technology, and proposes a cache location strategy based on dynamic router hierarchy for naming data network. Moreover, this paper regards the distance between router nodes and potential users as an important factor to distinguish router levels, and designs a method for calculating the popularity of dynamic content, which is consistent with the dynamic changes of users' data requests. In addition, this paper proposes a dynamic adjustment algorithm based on AIMD's popularity threshold, and the effectiveness of the DPCP cache permission strategy is verified by simulation experiments. The research shows that the local music database based on biotechnology big data analysis proposed in this paper has a good effect of local music data mining and recommendation.