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Delta compression is an efficient data reduction approach to removing redundancy among similar data chunks and files in storage systems. One of the main challenges facing delta compression is its low encoding speed, a worsening problem in face of the steadily increasing storage and network bandwidth and speed. In this paper, we present Ddelta, a deduplication-inspired fast delta compression scheme...
Data reduction has become increasingly important in storage systems due to the explosive growth of digital data in the world that has ushered in the big data era. In this paper, we present DARE, a Deduplication-Aware Resemblance detection and Elimination scheme for compressing backup datasets that effectively combines data deduplication and delta compression to achieve high data reduction efficiency...
Data deduplication, an efficient space reduction method, has gained increasing attention and popularity in data-intensive storage systems. Most existing state-of-the-art deduplication methods remove redundant data at either the file level or the chunk level, which incurs unavoidable and significant overheads in time (due to chunking and fingerprinting). These overheads can degrade the write performance...
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