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 deduplication is an effective way of improving storage space utilization. The data
generated by deduplication is persistently stored in data chunks or data containers (a …

Inline deduplication removes redundant data in real-time as data is being sent to the storage
system. However, it causes data fragmentation: logically consecutive chunks are physically …

Data deduplication has been broadly used in Cloud due to its storage space saving ability.
Capping methods that rewrite the data chunks of low Container Reference Ratio (CRR) …

Deduplication has been principally employed in distributed storage systems to improve
storage space efficiency. Traditional deduplication research ignores the design …

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

Large scale machine learning (ML) and deep learning (DL) platforms face challenges when
integrated with deduplication enabled storage clusters. In the quest to achieve smart and …

Data deduplication, though being efficient for redundancy elimination in storage systems,
introduces chunk fragmentation which severely decreases restore performance. Rewriting …

Backup systems often adopt deduplication techniques for data reduction. Real-world backup
products often group files into larger units (called packed files) before deduplicating them …

With the arrival of new technological trends such as Big Data and Internet of Things,
tremendous amount of duplicate data is being generated. Duplicate data causes the …