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 …

Scale-out distributed storage systems can uphold balanced data growth in terms of capacity
and performance on an on-demand basis. However, it is a challenge to store and manage …

Due to the rapid proliferation of sensors and intelligent devices, the cyber-physical-social
computing and networking (CPSCN) is emerging as a new computing paradigm. Massive …

Data deduplication has been widely used in the cloud to reduce storage space. To protect
data security, users encrypt data with message-locked encryption (MLE) to enable …

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

This article describes how data deduplication efficiently eliminates the redundant data by
selecting and storing only single instance of it and becoming popular in storage systems …

Abstract The popularity of Big Data applications places pressures on storage systems to
efficiently scale to meet the demand. At the same time, new developments like solid-state …

Data deduplication has been an essential part of storage systems for big data. Traditional
compare-by-hash (CBH) deduplication does not fully address the challenges for similar files …

Data deduplication is a vital component of current cloud storage systems for optimized
space utilization. However, users cannot fairly enjoy the storage savings of deduplication …

Despite high degrees of parallelism in terms of the number of chips and channels on state-of-
the-art SSDs, resource contention continues to be a big impediment to boosting their …