EFFICIENT DATA STORAGE MECHANISM IN CLOUD COMPUTING

As data graduallygrows within data storage areas, the cloud storage systems nonstopface challenges in saving storage capacity and providing capabilities necessary to move big data within an acceptable time frame. In this paper, we propose the Boafft, a cloud storage system with distributed deduplication. The Boafft achieves scalable throughput and capacity using multiple data servers to de- duplicate data in parallel, with a minimal loss of deduplication ratio. Initially, the Boafft uses an effective data routing procedure based on data similarity that decrease the network burdenby quickly identifying the storage location. Secondly, the Boafft maintains an inmemory similarity indexing in each data server that helps avoid a large number of random disk reads and writes, which in turn accelerates local data deduplication. Thirdly, the Boafft build hot fingerprint cache in each data server based on accessoccurrence, so as to improve the data deduplication ratio. Our comparative analysis with EMC’s statefull routing algorithm reveals that the Boafft can provide a comparatively high deduplication ratio with a low network bandwidth overhead. Moreover, the Boafft makes best usage of the storage area, with higher read/write bandwidth and good load balance