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An Analysis and Comparative Study of Data Deduplication Scheme in Cloud Storage

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Machine Learning for Predictive Analysis

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 141))

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Abstract

Data deduplication is another method for compressing the information and it is useful in productive utilization of storing the space and ends up being a superior strategy to deal with duplicate information. Deduplication permits unique or single data copies are stored in the database initially and sequential duplicates are delivered with interfacing indicator to the authorized stored replica of information. This paper analyses the deduplication scheme and comparison between them and the idea about the methodology also. The study showed is structured in smooth way to carry out the crisp of improvement in the deduplication schemes.

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Pronika, Tyagi, S.S. (2021). An Analysis and Comparative Study of Data Deduplication Scheme in Cloud Storage. In: Joshi, A., Khosravy, M., Gupta, N. (eds) Machine Learning for Predictive Analysis. Lecture Notes in Networks and Systems, vol 141. Springer, Singapore. https://doi.org/10.1007/978-981-15-7106-0_42

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