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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. One of the main challenges facing large-scale data reduction is how to maximally detect and eliminate redundancy at very low overheads. In this paper, we present DARE, a low-overhead deduplication-aware resemblance detection and elimination...
Nowadays, more and more activity recognition algorithms begin to improve recognition performance by combining the RGB and depth information. Although, the space-time volumes (STV) algorithm and the space-time local features algorithm can combine the RGB and depth information effectively, they also have their own defects. Such as they need expensive computational cost and they are not suitable for...
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...
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