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A Bloom filter is a simple data structure supporting membership queries on aset. The standard Bloom filter does not support the delete operation,therefore, many applications use a counting Bloom filter to enable deletion.This paper proposes a generalization of the counting Bloom filter approach,called "autoscaling Bloom filters", which allows adjustment of its capacitywith probabilistic bounds on false positives and true positives. In essence,the autoscaling Bloom filter is a binarized counting Bloom filter with anadjustable binarization threshold. We present the mathematical analysis of theperformance as well as give a procedure for minimization of the false positiverate.

Autoscaling Bloom Filter: Controlling Trade-off Between True and False Positives