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Bloom Filters, Related Data Structures, and their Applications

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Kuwait Foundation Lecture

Many network monitoring and measuring tasks are now making use of hash-based data structures, including Bloom filters and their many variations. In this talk, we review the basics and history of these data structures, explaining why they have become a key building block in a variety of networking algorithms. We cover both the mathematics underlying their performance, and some recent real-world applications. No previous background is required.

This talk is part of the Optimization and Incentives Seminar series.

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