Summary cache: a scalable wide-area web cache sharing protocol
IEEE/ACM Transactions on Networking (TON)
Space/time trade-offs in hash coding with allowable errors
Communications of the ACM
New directions in traffic measurement and accounting
ACM SIGCOMM Computer Communication Review
How Asymmetry Helps Load Balancing
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
Longest prefix matching using bloom filters
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
The Bloomier filter: an efficient data structure for static support lookup tables
SODA '04 Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms
Journal of Algorithms
Fast hash table lookup using extended bloom filter: an aid to network processing
Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
Segmented hash: an efficient hash table implementation for high performance networking subsystems
Proceedings of the 2005 ACM symposium on Architecture for networking and communications systems
Beyond bloom filters: from approximate membership checks to approximate state machines
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
An improved construction for counting bloom filters
ESA'06 Proceedings of the 14th conference on Annual European Symposium - Volume 14
Simple summaries for hashing with choices
IEEE/ACM Transactions on Networking (TON)
An Analysis of Random-Walk Cuckoo Hashing
APPROX '09 / RANDOM '09 Proceedings of the 12th International Workshop and 13th International Workshop on Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques
Divide and discriminate: algorithm for deterministic and fast hash lookups
Proceedings of the 5th ACM/IEEE Symposium on Architectures for Networking and Communications Systems
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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 systems such as ASIC/FPGA and multi-core. So it is critical to keep the hash operations faster and more deterministic. This paper presents a novel fast collision-free hashing scheme using Discriminative Bloom Filters (DBFs) to achieve fast and deterministic hash table lookup. DBF is a compact summary stored in on-chip memory. It is composed of an array of parallel Bloom filters organized by the discriminator. Each element lookup performs parallel membership checks on the on-chip DBF to produce a possible discriminator value. Then, the element plus the discriminator value is hashed to a possible bucket in an off-chip hash table for validating the match. This DBF-based scheme requires one off-chip memory access per lookup as well as less off-chip memory usage. Experiments show that our scheme achieves up to 8.5-fold reduction in the number of off-chip memory accesses per lookup than previous schemes.