Optimal (degree+1)-Coloring in Congested Clique

Fuente: arXiv
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Autores principales: Coy, Sam, Czumaj, Artur, Davies, Peter, Mishra, Gopinath
Formato: Preprint
Publicado: 2023
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author Coy, Sam
Czumaj, Artur
Davies, Peter
Mishra, Gopinath
author_facet Coy, Sam
Czumaj, Artur
Davies, Peter
Mishra, Gopinath
contents We consider the distributed complexity of the (degree+1)-list coloring problem, in which each node $u$ of degree $d(u)$ is assigned a palette of $d(u)+1$ colors, and the goal is to find a proper coloring using these color palettes. The (degree+1)-list coloring problem is a natural generalization of the classical $(Δ+1)$-coloring and $(Δ+1)$-list coloring problems, both being benchmark problems extensively studied in distributed and parallel computing. In this paper we settle the complexity of the (degree+1)-list coloring problem in the Congested Clique model by showing that it can be solved deterministically in a constant number of rounds.
format Preprint
id arxiv_https___arxiv_org_abs_2306_12071
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Optimal (degree+1)-Coloring in Congested Clique
Coy, Sam
Czumaj, Artur
Davies, Peter
Mishra, Gopinath
Data Structures and Algorithms
We consider the distributed complexity of the (degree+1)-list coloring problem, in which each node $u$ of degree $d(u)$ is assigned a palette of $d(u)+1$ colors, and the goal is to find a proper coloring using these color palettes. The (degree+1)-list coloring problem is a natural generalization of the classical $(Δ+1)$-coloring and $(Δ+1)$-list coloring problems, both being benchmark problems extensively studied in distributed and parallel computing. In this paper we settle the complexity of the (degree+1)-list coloring problem in the Congested Clique model by showing that it can be solved deterministically in a constant number of rounds.
title Optimal (degree+1)-Coloring in Congested Clique
topic Data Structures and Algorithms
url https://arxiv.org/abs/2306.12071