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Bloom filters are space-efficient data structures for fast set membership queries. Counting Bloom Filters (CBFs) extend Bloom filters by allowing insertions and deletions to support dynamic sets. The performance of CBFs is critical for various applications and systems. This paper presents a novel approach to building a fast and accurate data structure called Multiple-Partitioned Counting Bloom Filter...
Hash tables are widely used in network applications, as they can achieve O(1) query, insert, and delete operations at moderate loads. However, at high loads, collisions are prevalent in the table, which increases the access time and induces non-deterministic performance. Slow rates and non-determinism can considerably hurt the performance and scalability of hash tables in the multi-threaded parallel...
Providing recall-guaranteed search is critical for P2P networks. While building semantic overlay improves search performance, existing designs suffer from a tradeoff between search time and search quality (i.e. high recall). Moreover, they require to use high control overhead for overlay maintenance. In this paper, we present rSearch to achieve fast search with guaranteed high recall. The rSearch-enabled...
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