On Distributed Storage Method of Power Grid Business Data Based on Gaussian Model
The conventional centralized data storage methods have relatively low storage efficiency when facing large-scale and high-frequency data storage requirements.Therefore,a distributed storage method for power grid business data based on Gaussian Model is proposed.By analyzing the characteristics of power grid business data,the efficiency of storage is strengthened,and the multi-level addition and deletion of data information is realized.Establish a distributed storage model for Gaussian power grid business data using a hierarchical expansion storage and storage verification approach to complete data storage.The test results show that the designed method has relatively high actual storage power,significantly lower memory and CPU usage,and good storage performance.
万方数据
维普
