Optimization of Replica Technology with Two-Stages Dynamic Factor in Cloud Environment

The replica technology in cloud storage can not only maintain the high availability of the system, but also improve the performance of the system as a whole. Based on the analysis of the shortcomings of the static copy mechanism of the existing Hadoop distributed file system, this paper dynamically adopts different adjustment strategies for files with different heat, and completes the copy factor adjustment through two stages of filtering and adjustment, which can improve the access performance and avoid the waste of storage resources. The experimental results show that the improved replica factor adjustment strategy, reduced the average response time of system jobs and advance the performance of data access.