Cleaning Big Data Streams: A Systematic Literature Review
In today's big data era, cleaning big data streams has become a challenging task because of
the different formats of big data and the massive amount of big data which is being …
the different formats of big data and the massive amount of big data which is being …
Content-Defined Chunking Algorithms in Data Deduplication: Performance, Trade-Offs and Future-Oriented Techniques
SAA Hussein, RB Ahmad, N Yaakob… - … in Applied Sciences …, 2025 - semarakilmu.com.my
In the digital era, the exponential growth of data presents significant challenges for storage
efficiency and processing speed. This paper reviews Content-Defined Chunking (CDC), a …
efficiency and processing speed. This paper reviews Content-Defined Chunking (CDC), a …
A Thorough Investigation of Content-Defined Chunking Algorithms for Data Deduplication
M Gregoriadis, L Balduf, B Scheuermann… - arXiv preprint arXiv …, 2024 - arxiv.org
Data deduplication emerged as a powerful solution for reducing storage and bandwidth
costs in cloud settings by eliminating redundancies at the level of chunks. This has spurred …
costs in cloud settings by eliminating redundancies at the level of chunks. This has spurred …
[PDF][PDF] Enhancing Deduplication Efficiency Using Triple Bytes Cutters and Multi Hash Function.
Managing big data backups is challenging due to high volumes of redundant data. Data
deduplication is widely used but incurs significant computational and time costs. This paper …
deduplication is widely used but incurs significant computational and time costs. This paper …