Time-conserving deduplicated data retrieval framework for the cloud computing environment

Abstract

Cloud computing technology is quite inevitable in today’s smart world. The excessive utilization of data mandates updated storage space, which is highly expensive and cloud storage is the best solution to it. As charges are levied for the utilized space, data redundancy must be avoided for the effective exploitation of cloud space. Data deduplication is a technique, which removes redundant data and conserves storage, bandwidth and charges. However, data retrieval upon deduplicated data is not well explored in the existing literature. This work attempts to present an effective retrieval framework for deduplicated data in a cloud environment by presenting two protocols namely Data Outsourcing Protocol (DOP) and Data Retrieval Protocol (DRP). The retrieval performance of the proposed approach is tested and compared with the existing approaches in terms of standard performance measures. The work performance of the proposed Deduplicated Data Retrieval (DDR) framework performs better in terms of retrieval precision, recall and time conservation rates. The average precision and recall rates attained by the proposed work are 97.9% and 95.75% respectively.