Data deduplication has been widely applied in storage systems to improve the efficiency of
space utilization. In data deduplication systems, the data restore performance is seriously …

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 …

Slow restoration due to chunk fragmentation is a serious problem facing inline chunk-based
data deduplication systems: restore speeds for the most recent backup can drop orders of …

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 systems discover and remove redundancies between data blocks by
splitting the data stream into chunks and comparing a hash of each chunk with all previously …

In backup systems, the chunks of each backup are physically scattered after deduplication,
which causes a challenging fragmentation problem. We observe that the fragmentation …

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

Data deduplication has been widely adopted in contemporary backup storage systems. It not
only saves storage space considerably, but also shortens the data backup time significantly …

Data deduplication has been demonstrated to be an effective technique in reducing the total
data transferred over the network and the storage space in cloud backup, archiving, and …

Data deduplication, as a proven technology for effective data reduction in backup and
archiving storage systems, is also showing promises in increasing the logical space capacity …