DSPRMar 20

Power laws and power-of-two-choices

arXiv:2603.200608.5h-index: 1
Predicted impact top 60% in DS · last 90 daysOriginality Synthesis-oriented
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This work addresses a theoretical problem in allocation algorithms, offering incremental insights by modifying a classical approach.

The paper investigates a variation of the 'power of two choices' allocation algorithm by selecting the largest instead of the smallest of d randomly-chosen options, resulting in a power-law-like distribution where the i-th smallest value scales with i^(d-1) with high probability, and provides formulas for expectation and concentration.

This paper analyzes a variation on the well-known "power of two choices" allocation algorithms. Classically, the smallest of $d$ randomly-chosen options is selected. We investigate what happens when the largest of $d$ randomly-chosen options is selected. This process generates a power-law-like distribution: the $i^{th}$-smallest value scales with $i^{d-1}$, where $d$ is the number of randomly-chosen options, with high probability. We give a formula for the expectation and show the distribution is concentrated around the expectation

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