Randomized Algorithms For Hashing
Randomized Algorithms for Hashing is a computational method that belongs to the class of randomized algorithms and specifically employs randomness in the design or execution of hash functions to achieve probabilistic guarantees on performance, collision resistance, or distributional uniformity in data organization and retrieval.
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3.3K
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100
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71
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2017–2026
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Ramarathnam Venkatesan, S.-M. Koon, Mariusz Jakubowski et al. · 2002 · 494 citations
How asymmetry helps load balancing
Berthold Vöcking · Journal of the ACM · 2003 · 203 citations
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TU Dortmund University
Dortmund, Germany
5 h-index
5 publications
433 citations
Stanford University
Stanford, United States
5 h-index
5 publications
606 citations
AT&T (United States)
Bedminster, United States
4 h-index
7 publications
388 citations

University of Waterloo
Waterloo, Canada
3 h-index
4 publications
125 citations
Max Planck Society
Munich, Germany
2 h-index
7 publications
196 citations
University of Copenhagen
Copenhagen, Denmark
2 h-index
3 publications
54 citations

Technische Universität Ilmenau
Ilmenau, Germany
2 h-index
2 publications
103 citations
The University of Texas at Austin
Austin, United States
2 h-index
4 publications
280 citations
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2 publications · 79 citations
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JACM · 2 publications · 298 citations
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Repository · 2 publications · 89 citations
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2 publications · 44 citations
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Repository · 1 publications · 13 citations
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