In the present time of industry and academia, the demand for efficient utilization of data
storage needs to be taken into account, as lots of duplicate data on the cloud lead to a waste …

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 …

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 integrity auditing provides a method for checking the integrity of outsourced data in
cloud storage. However, outsourced data often contain sensitive information (such as …

Content-Defined Chunking (CDC) is the key stage of data deduplication since it has a
significant impact on deduplication system's throughput and deduplication efficiency …

Containers are the technology for Linux to isolate execution environments. By distributing a
container image, which is a collection of files contained in the container, users can use an …

Existing fuzzy deduplication solutions focus more on providing secure and low redundancy
storage services while ignoring the efficiency of deduplication matching-batch checking …

Data synchronization is the problem of reconciling the differences between large data stores
that differ in a small number of records. It is a common thread among disparate distributed …

Penelitian ini bertujuan untuk mengembangkan sebuah aplikasi yang menyediakan
platform bagi pengguna untuk mengakses informasi tentang tanaman obat dan manfaat …