Comparsion Of Time Overhead for Similarity Data Checking in Cloud Storage
S. Borgia Annie Catherine1, S. Prasanna2
1S. Borgia Annie Catherine, Research Scholar, Department of Computer Application, VISTAS, Chennai, (Tamil Nadu), India.
2DR. S. Prasanna, Department of Computer Application, VISTAS, Chennai, (Tamil Nadu), India.
Manuscript received on 12 April 2019 | Revised Manuscript received on 16 May 2019 | Manuscript published on 30 May 2019 | PP: 2421-2424 | Volume-8 Issue-1, May 2019 | Retrieval Number: A1967058119/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Index Terms: Similarity Detection, PAS, EPAS, Advanced EPAS.
Scope of the Article: Cloud Computing