A Power Management Proxy With a New Best-of-N Bloom Filter Design to Reduce False Positives

Published

April 12, 2007

Author(s)

Miguel Jimeno, K Christensen, Allen L. Roginsky

Abstract

Bloom filters are a probabilistic data structure used to evaluate set membership. A group of hash functions are used to map elements into a Bloom filter and to test elements for membership. In this paper, we propose using multiple groups of hash functions and selecting the group that generates the Bloom filter instance with the smallest number of set bits. We evaluate the performance of this new Best-of-N method using order statistics and an actual implementation. Our analysis shows that significant reduction in the probability of a false positive can be achieved. We also propose and evaluate a new method that uses a random number generator (RNG) to generate multiple hashes from one initial hash. This RNG method (motivated by a method from Kirsch and Mitzenmacher) makes the computational expense of the Best-of-N method very modest. The target application is a power management proxy for P2P applications executing in a resource-constrained SmartNIC .

Proceedings Title

International Performance Computing and Communications Conference (IPCCC) | 26th IEEE | | IEEE

Conference Dates

April 11-13, 2007

Conference Location

Undefined

Conference Title

International Performance Computing and Communications Conference

Pub Type

Conferences

Citation

Jimeno, M. , Christensen, K. and Roginsky, A. (2007), A Power Management Proxy With a New Best-of-N Bloom Filter Design to Reduce False Positives, International Performance Computing and Communications Conference (IPCCC) | 26th IEEE | | IEEE, Undefined (Accessed October 11, 2025)