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An Analysis of the Effectiveness of Cascaded and CAM-Assisted Bloom Filters for Data Filtering

Duong, Q.-M. and Dao, X.-U. and Nguyen, H.-D. and Tran, N.-H.-T. and Le, N.-H. and Trinh, Q.-K. (2023) An Analysis of the Effectiveness of Cascaded and CAM-Assisted Bloom Filters for Data Filtering. In: International Conference on Intelligent Systems and Network, ICISN 2023, 18 March 2023 Through 19 March 2023, Hanoi.

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Abstract

This work proposes some optimization solutions and design methodologies for cascaded Bloom Filter design developed from the standard Bloom filter architecture presented in our previous study. These optimization solutions are all based on features extracted from the input data after passing through the first Bloom filter layer, which is used for the next Bloom layers in the entire filtering process. In addition, a solution using a small capacity of CAM instead of the Bloom filter in the last layer is also considered and evaluated in comparison with the solution using the pure Bloom filters. The CAM-assisted filter design could almost suppress the false positive rate with a trade-off in a small false negative rate. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculties > Faculty of Radio-Electronic Engineering
Identification Number: 10.1007/978-981-99-4725-6₅₀
Uncontrolled Keywords: Cams; Data structures, Bloom filters; Bloom with CAM; Cascaded bloom filter; Data filtering; Design Methodology; Filter designs; Optimization design; Optimization solution; Solution methodology, Economic and social effects
Additional Information: Conference of Proceedings of the International Conference on Intelligent Systems and Network, ICISN 2023; Conference Date: 18 March 2023 Through 19 March 2023; Conference Code:299689
URI: http://eprints.lqdtu.edu.vn/id/eprint/10952

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