Fast hash table lookup using extended bloom filter: an aid to network processing. Hash tables are fundamental components of several network processing algorithms and applications, including route lookup, packet classification, per-flow state management and network monitoring.
Hash table is used as one of the fundamental modules in several net- work processing algorithms and applications such as route lookup, packet classification, ...
Through a combination of analysis and simulations we show that our algorithm is significantly faster than a naive hash table using the same amount of memory, ...
Oct 22, 2024 · Hash tables are fundamental components of several network processing algorithms and applications, including route lookup, ...
An overview article summarizes a novel hash table data structure and lookup algorithm which improves the performance over a naive hash table by reducing the ...
This work presents a novel hash table data structure and lookup algorithm which improves the performance over a naive hash table by reducing the number of ...
Our algorithm extends the multiple-hashing Bloom Filter data structure to support exact matches and exploits recent advances in embedded memory technology.
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Oct 19, 2014 · If you have a gigantic hash table sitting on disk somewhere, you could use a bloom filter (in memory) to decide if it's worth doing the disk ...
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Nov 26, 2010 · Using hash table for 1M elements means finding collision after each 1k insertions because of the Birthday's Paradox. Bloom filter helps to ...
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<jats:p>Hash tables are fundamental components of several network processing algorithms and applications, including route lookup, packet classification, ...