Research on the Construction and Usage of University History Image Data Database Based on Cloud Storage

In order to further strengthen the storage and sharing level of school history image data, a massive data sharing method based on cloud storage was proposed. In order to improve the utilization efficiency of cloud storage space, the optimization algorithm based on the residual space was used to optimize the cloud storage space, and the intermediate value fitting effect optimal heuristic algorithm was used to solve the virtual machine placement problem in the cloud storage process of school history image data. Experimental results showed that compared with the Cinder algorithm, the optimization algorithm based on residual space used in this paper has higher computational efficiency on the second dataset of the school history image database, which is improved by 35%. Compared with MBFD algorithm and PABFG algorithm, the intermediate value fitting effect optimal heuristic algorithm consumes less power. It is concluded that the spatial optimization algorithm and the virtual machine placement algorithm can further improve the storage and sharing level of the school history image data database.