A Hybrid Optimization approach to Eliminate Duplicate File Using Hashing Technique in Cloud Storage

Clouds are the bigger pools of easy to use and access virtualized properties. Cloud computing offers an on demand, selfservice, speedy, adaptable and universal access to several computing properties and resources. Data de-duplication is informationcompression techniques which reduces the storage capacity by eliminating duplicate copies of information or reduce the sum of information that has to be transfer over a complex. In this paper we propose Hybrid optimization approach by combining the SHA-3 algorithm to generate the Hash Value in the form of string. K-mean clustering algorithm used for divide the data into the hash values. Genetic algorithm used for optimize to find the best solutions from the hash values for unique data. It is an interactive program which provides numerical computation and visualization of data. The parameters on which the comparison is done are memory consumption, hashing time, and detection time and detection accuracy.