2021
DOI: 10.1007/978-3-030-79478-1_32
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The Entry-Extensible Cuckoo Filter

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Cited by 3 publications
(2 citation statements)
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“…Additionally, the space usage often grows as normalΩfalse(nlgnfalse)$$ \Omega \left(n\lg n\right) $$, at which point a traditional hash table would do the same work in the same space with constant‐time operations and an nprefix−c$$ {n}^{-c} $$ false positive probability, where c$$ c $$ depends on the constant in normalΩfalse(nlgnfalse)$$ \Omega \left(n\lg n\right) $$. A newer approach to manage growing filters is to use cuckoo or quotient filters in which, each time the filter capacity grows, the false positive probability doubles 1,2,19,21,22 . Finally, a third approach to the problem of growing a filter is to depend on the original keys being available during rebuild time 23 .…”
Section: Introductionmentioning
confidence: 99%
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“…Additionally, the space usage often grows as normalΩfalse(nlgnfalse)$$ \Omega \left(n\lg n\right) $$, at which point a traditional hash table would do the same work in the same space with constant‐time operations and an nprefix−c$$ {n}^{-c} $$ false positive probability, where c$$ c $$ depends on the constant in normalΩfalse(nlgnfalse)$$ \Omega \left(n\lg n\right) $$. A newer approach to manage growing filters is to use cuckoo or quotient filters in which, each time the filter capacity grows, the false positive probability doubles 1,2,19,21,22 . Finally, a third approach to the problem of growing a filter is to depend on the original keys being available during rebuild time 23 .…”
Section: Introductionmentioning
confidence: 99%
“…A newer approach to manage growing filters is to use cuckoo or quotient filters in which, each time the filter capacity grows, the false positive probability doubles. 1,2,19,21,22 Finally, a third approach to the problem of growing a filter is to depend on the original keys being available during rebuild time. 23 This approach is not always possible or time efficient.…”
Section: Introductionmentioning
confidence: 99%