The implementation approaches of data deduplication system divide into several modes
including SBA (source-based approach), ILA (in-line approach) and PPA (post-process …

Lossless data reduction techniques, particularly compression and deduplication, have
emerged as effective approaches to tackling the combined challenge of explosive growth in …

Cloud computing is a paradigm shift in the Internet technology. Data deduplication can save
storage space and reduce the amount of bandwidth of data transfer. There always exists a …

Thanks to the “on-demand” nature of cloud computing, a large number of applications have
been recently migrated to the cloud. To take full advantage of superior connectivities …

Data backup and business continuity issues are crucial in networks as the value and
importance of digital data are constantly increasing. It is vital to frequently backup the data …

Utility computing is an increasingly important paradigm, whereby computing resources are
provided on-demand as utilities. An important component of utility computing is storage, data …

Growing complexity of today's software development requires new and better techniques in
software testing. A promising one seems to be model-based testing. The goal is to …

Data deduplication has become a commodity in large-scale storage systems, especially in
data backup and archival systems. However, due to the removal of redundant data, data …

Inevitable tradeoff between read performance and space saving always shows up when
applying offline deduplication for primary storage. We propose Mudder, a multi-tiered and …