The exponential growth of digital data in cloud storage systems is a critical issue presently
as a large amount of duplicate data in the storage systems exerts an extra load on it …

Data deduplication, an efficient approach to data reduction, has gained increasing attention
and popularity in large-scale storage systems due to the explosive growth of digital data. It …

Content-Defined Chunking (CDC) has been playing a key role in data deduplication
systems in the past 15 years or so due to its high redundancy detection abil-ity. However …

Data deduplication, a space-efficient and bandwidth-saving technology, plays an important
role in bandwidth-efficient data transmission in various data-intensive network and cloud …

Content-Defined Chunking (CDC) has been playing a key role in data deduplication
systems recently due to its high redundancy detection ability. However, existing CDC-based …

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 …

In storage systems, delta compression is often used as a complementary data reduction
technique for data deduplication because it is able to eliminate redundancy among the non …

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

Edge computing responds to users' requests with low latency by storing the relevant files at
the network edge. Various data deduplication technologies are currently employed at edge …

Data deduplication, a data reduction technique that efficiently detects and eliminates
redundant data chunks and files, has been widely applied in large-scale storage systems …