Adaptive Partitioning
Adaptive Partitioning is a data partitioning strategy that dynamically adjusts the division of datasets based on evolving data characteristics, system conditions, or workload demands to optimize performance, scalability, or efficiency in distributed computing environments.
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12.6K
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616
Authors
301
Institutions
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2017–2026
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Parents
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Flux: an adaptive partitioning operator for continuous query systems
Mehul A. Shah, Joseph M. Hellerstein, Sirish Chandrasekaran et al. · 2004 · 317 citations
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Utah State University
Logan, United States
7 h-index
18 publications
4.2K citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
14 publications
634 citations
Tsinghua University
Beijing, China
6 h-index
13 publications
470 citations

University of Colorado Denver
Denver, United States
4 h-index
12 publications
1.1K citations

Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
4 h-index
4 publications
2.3K citations

Shanghai Jiao Tong University
Shanghai, China
3 h-index
11 publications
395 citations

UNSW Sydney
Sydney, Australia
3 h-index
8 publications
225 citations
Columbia University
New York, United States
3 h-index
6 publications
1.9K citations
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TPDS · 6 publications · 292 citations
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JCTC · 5 publications · 289 citations
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Repository · 4 publications · 95 citations
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3 publications · 44 citations
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3 publications · 183 citations
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