Abstract:  In order to ensure data security and alleviate data storage, a distributed data fault-tolerant storage algorithm based on density partitioning is proposed. High-density data areas of distributed data are filtered, highly similar targets are divided into different areas, the density distribution of data is described through data source sample points, the data elasticity is set, probability and data granularity is used to calculate the corresponding storage gradient and intensity index, and data storage gradient and data elasticity is introduced into information storage to complete distributed data fault-tolerant storage. Experiments show that the proposed algorithm has high fault tolerance, stable bandwidth throughput, small average path length, and can improve the security of network data. 

Key words:  , density division, distributed data, data fault-tolerant storage, data granularity, strength index