July 2022
Intermediate to advanced
304 pages
9h 15m
English
book
Algorithms and Data Structures for Massive Datasets
by Dzejla Medjedovic, Emin Tahirovic, Ines Schweigert
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3 Approximate membership: Bloom and quotient filters
This chapter covers
- Learning what Bloom filters are and why and when they are useful
- Configuring a Bloom filter in a practical setting
- Exploring the interplay in Bloom filter parameters
- Learning about quotient filters as Bloom filter replacements
- Comparing the performance of a Bloom filter and a quotient filter
Bloom filters have become a standard in systems that process large datasets. Their widespread use, especially in networks and distributed databases, comes from the effectiveness they exhibit in situations where we need a hash table functionality but do not have the luxury of space. They were invented in the 1970s by Burton Bloom [1], but they only really “bloomed” in the last few decades ...
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