Cloud iDedup: History aware In-line Deduplication for Cloud storage to Reduce Fragmentation by Utilizing Cache Knowledge

In modern world, due to enormous demand for the cloud storage there are high chances of data duplication. Hence, redundancy create problem by increasing storage space and so storage cost. Inline Deduplication used to check duplicity before uploading data. Sometimes while restoring data failures or corrupting data can heavily create problem for users. Erasure coding can be used to encoding and storing on multiple cloud servers to recover data in any failure. Here, we are proposing system which is using hashing to detect duplicate data and erasure to generate encoded hash values for recovery purpose. To evaluate the performance of system, experiments are carried out on multiple files, ranging from 1KB to 100MB. Experimental output proves that the proposed system is much better than existing one, in terms of minimized storage space capacity and data recovery.