A systematic review on cloud storage mechanisms concerning e-healthcare systems

A Tahir, F Chen, HU Khan, Z Ming, A Ahmad, S Nazir… - Sensors, 2020 - mdpi.com
As the expenses of medical care administrations rise and medical services experts are
becoming rare, it is up to medical services organizations and institutes to consider the …

Data deduplication techniques for efficient cloud storage management: a systematic review

R Kaur, I Chana, J Bhattacharya - The Journal of Supercomputing, 2018 - Springer
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 …

POCLib: A high-performance framework for enabling near orthogonal processing on compression

F Zhang, J Zhai, X Shen, O Mutlu… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Parallel technology boosts data processing in recent years, and parallel direct data
processing on hierarchically compressed documents exhibits great promise. The high …

Potential impacts of blockchain technology on business practices of bricks and mortar (B&M) grocery stores

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 …

High-ratio lossy compression: Exploring the autoencoder to compress scientific data

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 …

Forkbase: An efficient storage engine for blockchain and forkable applications

S Wang, TTA Dinh, Q Lin, Z Xie, M Zhang, Q Cai… - arXiv preprint arXiv …, 2018 - arxiv.org
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 …

Understanding and modeling lossy compression schemes on HPC scientific data

T Lu, Q Liu, X He, H Luo, E Suchyta… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
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 …

Cost optimization for cloud storage from user perspectives: Recent advances, taxonomy, and survey

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 …

A secure authorized deduplication scheme for cloud data based on blockchain

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 …

The design of fast content-defined chunking for data deduplication based storage systems

W Xia, X Zou, H Jiang, Y Zhou, C Liu… - … on Parallel and …, 2020 - ieeexplore.ieee.org
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 …