Parallel technology boosts data processing in recent years, and parallel direct data
processing on hierarchically compressed documents exhibits great promise. The high …

With the development of computer architecture, even for embedded systems, GPU devices
can be integrated, providing outstanding performance and energy efficiency to meet the …

Huge amounts of data have been generated on edge devices every day, which requires
efficient data analytics and management. However, due to the limited computing capacity of …

Now a day's cloud is widely used as a storage container to store an enormous amount of
data. Data is growing on the cloud exponentially as every user whether an organization …

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 can efficiently eliminate data redundancies in cloud storage and reduce
the bandwidth requirement of users. However, most previous schemes depending on the …

Big data processing is considered as significant because a massive amount of data is
generated due to the rapid usage of the internet by people all over the globe. Cloud …

Data deduplication at the network edge significantly improves communication efficiency in
edge-assisted cloud storage systems. With the increasing concern about data privacy …

Data reduction has gained growing emphasis due to the rapidly unsystematic increase in
digital data and has become a sensible approach to big data systems. Data deduplication is …

Abstract The Internet of Things (IoT) generates substantial data through sensors for diverse
applications, such as healthcare services. This article addresses the challenge of efficiently …