A Simple Optimal Contention Resolution Scheme for Uniform Matroids
Danish Kashaev, Richard Santiago

TL;DR
This paper introduces a simple, explicit, and optimal contention resolution scheme for uniform matroids, improving simplicity over previous methods that relied on complex linear programs and random sampling.
Contribution
It provides a new monotone CR scheme for uniform matroids with proven optimal balancedness, extending naturally to partition matroids.
Findings
Achieves a balancedness approaching $1 - e^{-k}k^k/k!$ asymptotically.
Simplifies previous complex LP-based schemes.
Extends to partition matroids with optimal properties.
Abstract
Contention resolution schemes (or CR schemes), introduced by Chekuri, Vondrak and Zenklusen, are a class of randomized rounding algorithms for converting a fractional solution to a relaxation for a down-closed constraint family into an integer solution. A CR scheme takes a fractional point in a relaxation polytope, rounds each coordinate independently to get a possibly non-feasible set, and then drops some elements in order to satisfy the constraints. Intuitively, a contention resolution scheme is -balanced if every element is selected with probability at least . It is known that general matroids admit a -balanced CR scheme, and that this is (asymptotically) optimal. This is in particular true for the special case of uniform matroids of rank one. In this work, we provide a simple and explicit monotone CR scheme for uniform matroids of rank on…
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Taxonomy
TopicsScheduling and Optimization Algorithms
