Comparsion of time overhead for similarity data checking in cloud storage

Abstract

Cloud computing is a great technique to perform an enormous range and multipart computing of data. Cloud is an important platform for massive data storage. It is highly important to have the data quality for the effective storage and retrieval of data. Redundancy is a huge problem, which occurs due to the similar data getting stored in various content formats. there are a lot of techniques available shingle, Simhash, traits, TSA, PAS, EPAS to identify and remove duplicate but with the restriction in file control. the proposed technique AEPAS detects the data replication in a specific data compression method to eliminating duplicate copies of repeat data among many files with similarity content.