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Data deduplication has been an essential part of storage systems for big data. Traditional compare-by-hash (CBH) deduplication does not fully address the challenges for similar files with small changes. Delta compression can be complementary to further optimize the storage efficiency. In this paper, we designed and implemented a distributed storage system called DCDedupe that efficiently and intelligently...
Exploiting temporal and spatial locality is a way to improve the performance of data compression and deduplication in a storage system. Through our evaluation, we find that content level similarity measures such as similar tags of photos have a certain correlation to data compressibility. Raw images with similar tags can be compressed together to get better storage space savings. Furthermore, storing...
Data deduplication is used to overcome two issues on Solid State Drives (SSDs). One is price per GB of storage space, and the other is the write limit or disk endurance. By eliminating duplicate data, the deduplication system improves storage efficiency and protects SSD from unnecessary writes. CAFTL [1] is a known solution for deduplication on SSD. We propose a system architecture for inline deduplication...
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