Variable-size Chunking
Variable-Size Chunking is a data segmentation method in which input data is divided into blocks of non-uniform length based on dynamic, content-dependent boundaries, typically determined by rolling hash functions or other content-aware algorithms, to improve redundancy detection in data deduplication systems.
21
Publications
803
Citations
62
Authors
30
Institutions
Publications per year
2017–2026
8
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21
Implementation Issues of A Cloud Computing Platform.
Bo Peng, Bin Cui, Xiaoming Li · 2009 · 44 citations
Online End-To-End Neural Diarization with Speaker-Tracing Buffer
Yawen Xue, Shota Horiguchi, Yusuke Fujita et al. · 2021 · 38 citations
Anchor-driven subchunk deduplication
Bartłomiej Romański, Łukasz Heldt, Wojciech Kilian et al. · 2011 · 33 citations
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University of Electronic Science and Technology of China, China
2 publications · 62 citations
2
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2
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1–5 of 62
30

Peking University
Beijing, China
2 h-index
5 publications
186 citations

University of Electronic Science and Technology of China
Chengdu, China
2 h-index
5 publications
153 citations
The University of Texas at Arlington
Arlington, United States
2 h-index
3 publications
61 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
2 h-index
4 publications
124 citations
University of Nebraska–Lincoln
Lincoln, United States
1 h-index
1 publications
22 citations

University of the Philippines Los Baños
Los Baños, Philippines
1 h-index
1 publications
19 citations
Koç University
Istanbul, Türkiye
1 h-index
3 publications
39 citations

Johns Hopkins University
Baltimore, United States
1 h-index
2 publications
76 citations
1–8 of 30
1 publications · 273 citations
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Repository · 1 publications · 10 citations
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1 publications · 18 citations
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1 publications · 27 citations
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TPDS · 1 publications · 22 citations
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