Cloud storage performance enhancement by real-time feedback control and de-duplication

In a cloud storage environment, file distribution and storage is processed by storage devices providers or physical storage devices rented from the third-party companies. Through centralized management and virtualization, files are integrated into available resources for users to access. However, because of the increasing number of files, the manager cannot guarantee the optimal status of each storage node. The great number of files not only leads to the waste of hardware resources, but also worsens the control complexity of data center, which further degrades the performance of the cloud storage system. For this reason, to decrease the workload caused by duplicated files, this paper proposes a new data management structure: Index Name Server (INS), which integrates data de-duplication with nodes optimization mechanisms for cloud storage performance enhancement. INS can manage and optimize the nodes according to the client-side transmission conditions. By INS, each node can be controlled to work in the best status and matched to suitable clients as possible. In such a manner, we can improve the performance of the cloud storage system efficiently and distribute the files reasonably to reduce the load of each storage node.