Back to the Future: an Even More Nearly Optimal Cardinality Estimation Algorithm
August 22, 2017 Β· Declared Dead Β· π arXiv.org
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Authors
Kevin J Lang
arXiv ID
1708.06839
Category
cs.DS: Data Structures & Algorithms
Citations
20
Venue
arXiv.org
Last Checked
3 months ago
Abstract
We describe a new cardinality estimation algorithm that is extremely space-efficient. It applies one of three novel estimators to the compressed state of the Flajolet-Martin-85 coupon collection process. In an apples-to-apples empirical comparison against compressed HyperLogLog sketches, the new algorithm simultaneously wins on all three dimensions of the time/space/accuracy tradeoff. Our prototype uses the zstd compression library, and produces sketches that are smaller than the entropy of HLL, so no possible implementation of compressed HLL can match its space efficiency. The paper's technical contributions include analyses and simulations of the three new estimators, accurate values for the entropies of FM85 and HLL, and a non-trivial method for estimating a double asymptotic limit via simulation.
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