Post-deduplication delta compression is a data reduction technique that calculates and
stores the differences of very similar but non-duplicate chunks in storage systems, which is …

Data deduplication is widely used to reduce the size of backup workloads, but it has the
known disadvantage of causing poor data locality, also referred to as the fragmentation …

Fine-grained deduplication, which first removes identical chunks and then eliminates
redundancies between similar but non-identical chunks (ie, delta compression), could …

Data deduplication is widely used to reduce the size of backup workloads, but it has the
known disadvantage of causing poor data locality, also referred to as the fragmentation …

Data reduction in storage systems is an effective solution to minimize the management cost
of a data center. To maximize data-reduction efficiency, prior works propose post …

This paper presents TiDedup, a new cluster-level deduplication architecture for Ceph, a
widely deployed distributed storage system. Ceph introduced a cluster-level deduplication …

Multiple data reduction techniques have been investigated to lower storage costs for a wide
variety of customers. In this work, we focus on similarity-based delta compression, which …

Data deduplication is a widely employed technique in backup systems to enhance storage
efficiency by eliminating duplicate chunks. Delta compression is a technique that …

As the number of pre-trained machine learning (ML) models is growing exponentially, data
reduction tools are not catching up. Existing data reduction techniques are not specifically …

Data deduplication, though being efficient in removing duplicate chunks, introduces chunk
fragmentation which decreases restore performance. Rewriting algorithms are proposed to …