In-line Deduplication for Cloud storage to Reduce Fragmentation by using Historical Knowledge

Recovery and Backup system in which the process involves that copying and archiving of data on different cloud server, so that this data is used to recover the unique data, afterward a loss event. Purpose of backup is to recover data after its loss and to improve data from a past time. In backup systems, the fragments of every data file are physically distributed over multiple servers, which increase privacy of data files. We can use deduplication compressions techniques, but there is a need to improve such systems with respect to capacity of storage and to improve recovery of files. In this paper, we implement the erasure code, inline de-duplication checking and file restoring to improve the performance of backup system. To evaluate the performance of system, experiments are carried out on multiple files, ranging from 1KB to 100MB. Experimental results prove that the proposed system is better than existing one, in terms of minimized storage space capacity and data recovery. Keywords— Cloud computing, Backup systems, Fragmentation, Data loss recovery, Deduplication.