The exponential growth of digital data in cloud storage systems is a critical issue presently as a large amount of duplicate data in the storage systems exerts an extra load on it …
Parallel technology boosts data processing in recent years, and parallel direct data processing on hierarchically compressed documents exhibits great promise. The high …
MT Nuseir - Business Process Management Journal, 2021 - emerald.com
Purpose This paper investigates the impact of blockchain technology on the Bricks and Mortar (B&M) grocery sector from a technological and functional perspective …
T Liu, J Wang, Q Liu, S Alibhai, T Lu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Scientific simulations on high-performance computing (HPC) systems can generate large amounts of floating-point data per run. To mitigate the data storage bottleneck and lower the …
Existing data storage systems offer a wide range of functionalities to accommodate an equally diverse range of applications. However, new classes of applications have emerged …
Scientific simulations generate large amounts of floating-point data, which are often not very compressible using the traditional reduction schemes, such as deduplication or lossless …
M Liu, L Pan, S Liu - ACM Computing Surveys, 2023 - dl.acm.org
With the development and maturity of cloud storage, it has attracted a large number of users. Although cloud users do not need to concern themselves with the infrastructure used for …
G Zhang, Z Yang, H Xie, W Liu - Information Processing & Management, 2021 - Elsevier
Deduplication scheme based on convergent encryption (CE) is widely-used in cloud storage system to eliminate redundant data. However, the adversaries can obtain the data by the …
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 …