Modern deduplication has become quite effective at eliminating duplicates in data, thus
multiplying the effective capacity of disk-based backup systems, and enabling them as …

Cloud computing plays a major role in the business domain today as computing resources
are delivered as a utility on demand to customers over the Internet. Cloud storage is one of …

Increase in enormous amount of digital data needs more storage space, which in turn
significantly increases the cost of backup and its performance. Traditional backup solutions …

Deduplication is one of the major storage optimisation techniques for Virtual Machines
(VMs) in cloud environment. Usually, hashing of blocks helps in identifying duplicate data …

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 …

Key to the compression-capability of a data deduplication system is the definition of
redundancy. Traditionally, two data items are considered redundant if their underlying bit …

In this paper, we present a learning based data deduplication algorithm, called LIPA, which
uses the reinforcement learning framework to build an adaptive indexing structure. It is …

Data deduplication has become a standard component in modern backup systems. In order
to understand the fundamental tradeoffs in each of its design choices (such as prefetching …

Most existing cloud storage providers rely on data deduplication in order to significantly save
storage costs by storing duplicate data only once. While the literature has thoroughly …

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 …