Data deduplication has attracted many cloud service providers (CSPs) as a way to reduce
storage costs. Even though the general deduplication approach has been increasingly …

The emergence of large-scale dynamic sets in real applications creates stringent
requirements for approximate set representation structures: 1) the capacity of the set …

Deduplication has become a widely deployed technology in cloud data centers to improve IT
resources efficiency. However, traditional techniques face a great challenge in big data …

The byte-addressable non-volatile memory (NVM) is a promising medium for data storage.
NVM-oriented file systems have been designed to explore NVM's performance potential …

Data deduplication (dedupe for short) is a special data compression technique. It has been
widely adopted to save backup time as well as storage space, particularly in backup storage …

Data deduplication [3] is able to effectively identify and eliminate redundant data and only
maintain a single copy of files and chunks. Hence, it is widely used in cloud storage systems …

Data deduplication, a data redundancy elimination technique, has been widely employed in
many application environments to reduce data storage space. However, it is challenging to …

In chunk-based deduplication systems, logically consecutive chunks are physically scattered
in different containers after deduplication, which results in the serious fragmentation …

Content-Defined Chunking (CDC) detect maximum redundancy in data deduplication
systems in the past years. In this research work, we focus on optimizing the deduplication …

Chunk-level deduplication, while robust in removing duplicate chunks, introduces chunk
fragmentation which decreases restore performance. Rewriting algorithms are proposed to …