A Private Cloud Storage System Based on Multithread Optimization

A private cloud storage model was established in this paper by combining local-storage and public cloud storage. In this model, the stored data show the following three stages: data preprocessing, data concentration storage and distributed management, data transmission. Parallel multithread was adopted in the client and the cloud storage server to deal with concurrent requests. At the same time, the lock mechanism was utilized to ensure data consistency. In this research, Python language was used in the Linux system to realize the establishment of the prototype system. According to this system together with the practical public cloud storage platform (Amazon S3), the test was conducted. The results indicate that the multithread optimization technique can contribute to the approximately linear improvement of the system performance.