Cloud computing storage optimization based on tiered file system
Guo Wan Zhangxiaofung-wen
The redundancy caused by a large number of virtual mirrors in the cloud environment can reduce the utilization of resources, and the use of data de-duplication reduces the need for storage space and network bandwidth, but it also has the problem of handling performance degradation. In this paper, a cloud storage optimization scheme based on stacked file system is proposed. The scheme utilizes a scalable file system to store a small amount of modification information of a user to a virtual instance on a read-write disk, storing a virtual image in a reading disk, saving only a small amount of modification information for a virtual instance at a time, without saving the entire instance. The experimental results show that the proposed scheme can reduce the storage capacity without affecting the performance, and the effect on the file system performance is about 0.75%, and the storage capacity needs to be reduced by about 35% compared with the traditional data de-duplication scheme when the users need only a few modifications to the virtual instance.
Cloud computing storage optimization based on tiered file system