Improved distributed degree splitting and edge coloring

Mohsen Ghaffari, Juho Hirvonen, Fabian Kuhn*, Yannic Maus, Jukka Suomela, Jara Uitto

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)

Abstract

The degree splitting problem requires coloring the edges of a graph red or blue such that each node has almost the same number of edges in each color, up to a small additive discrepancy. The directed variant of the problem requires orienting the edges such that each node has almost the same number of incoming and outgoing edges, again up to a small additive discrepancy. We present deterministic distributed algorithms for both variants, which improve on their counterparts presented by Ghaffari and Su (Proc SODA 2017:2505–2523, 2017): our algorithms are significantly simpler and faster, and have a much smaller discrepancy. This also leads to a faster and simpler deterministic algorithm for (2 + o(1)) Δ-edge-coloring, improving on that of Ghaffari and Su.

Original languageEnglish
Number of pages18
JournalDistributed Computing
Volume33
Early online date4 Feb 2019
DOIs
Publication statusPublished - 2020
MoE publication typeA1 Journal article-refereed

Keywords

  • Degree splitting
  • Discrepancy
  • Distributed graph algorithms
  • Edge coloring

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