Content-Defined Chunking (CDC) has been playing a key role in data deduplication
systems recently due to its high redundancy detection ability. However, existing CDC-based …

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 …

The revolutionary expansion in processing and storing mechanisms through the internet has
given rise to affordable and powerful computing features. These qualities have been …

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 …

With the explosive growth of medical data, the tendency to store medical data on cloud is
extremely widespread. However, large-scale medical data have put great pressure on cloud …

In recent times, the exponential boom of industrial data in cloud is witnessed due to dramatic
outcome of digitization and smart environment within the industries. Globalization, easy-to …

Inline deduplication dramatically improves storage space utilization. However, it degrades
I/O throughput due to computeintensive deduplication operations such as chunking …

Cloud storage is essential for managing user data to store and retrieve from the distributed
data centre. The storage service is distributed as pay a service for accessing the size to …

In the data backup system, to reduce the bandwidth and processing time overhead caused
by full backup technology during data synchronization between backups and source data …

Data chunking refers to the process of splitting files or data stream into multiple chunks of
fixed length or variable length. Chunking determines the performance of underlying storage …