Data Deduplication Techniques for Efficient Storage Management

Author(s)	Prachi Ujjwal Deore, Sakshi Somanath Beylle, Shekhar Mangesh Satpute, Atharv Vinod Dalvi
Country	India
Abstract	Data deduplication is now a vital remedy for the problems brought on by the exponential growth of digital data. This method successfully minimizes storage demands, improves system efficiency, and lowers infrastructure costs by locating and eliminating redundant information. The fundamental ideas, procedures, and categories of deduplication—such as file-level, block-level, and chunk-based approaches—as well as their uses in diverse industries are examined in this study. It also highlights upcoming trends, such as developments driven by artificial intelligence (AI), while addressing issues like processor overhead and data fragmentation. The results demonstrate the importance of deduplication in contemporary storage systems and the room for advancement in meeting rising demands.
Keywords	cloud optimization, big data analytics, AI-based algorithms, inline deduplication, data deduplication, storage efficiency, and redundancy reduction.
Field	Computer Applications
Published In	Volume 6, Issue 6, November-December 2024
Published On	2024-12-12
Cite This	Data Deduplication Techniques for Efficient Storage Management - Prachi Ujjwal Deore, Sakshi Somanath Beylle, Shekhar Mangesh Satpute, Atharv Vinod Dalvi - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.32073
DOI	https://doi.org/10.36948/ijfmr.2024.v06i06.32073
Short DOI	https://doi.org/g8vgkb

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