License: Creative Commons Attribution 3.0 Unported license (CC-BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.DISC.2020.40
URN: urn:nbn:de:0030-drops-131182
URL: https://drops.dagstuhl.de/opus/volltexte/2020/13118/
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Brandt, Sebastian ; Keller, Barbara ; Rybicki, Joel ; Suomela, Jukka ; Uitto, Jara

Brief Announcement: Efficient Load-Balancing Through Distributed Token Dropping

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LIPIcs-DISC-2020-40.pdf (0.3 MB)


Abstract

We introduce a new graph problem, the token dropping game, and we show how to solve it efficiently in a distributed setting. We use the token dropping game as a tool to design an efficient distributed algorithm for the stable orientation problem, which is a special case of the more general locally optimal semi-matching problem. The prior work by Czygrinow et al. (DISC 2012) finds a locally optimal semi-matching in O(Δ⁵) rounds in graphs of maximum degree Δ, which directly implies an algorithm with the same runtime for stable orientations. We improve the runtime to O(Δ⁴) for stable orientations and prove a lower bound of Ω(Δ) rounds.

BibTeX - Entry

@InProceedings{brandt_et_al:LIPIcs:2020:13118,
  author =	{Sebastian Brandt and Barbara Keller and Joel Rybicki and Jukka Suomela and Jara Uitto},
  title =	{{Brief Announcement: Efficient Load-Balancing Through Distributed Token Dropping}},
  booktitle =	{34th International Symposium on Distributed Computing (DISC 2020)},
  pages =	{40:1--40:3},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-168-9},
  ISSN =	{1868-8969},
  year =	{2020},
  volume =	{179},
  editor =	{Hagit Attiya},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2020/13118},
  URN =		{urn:nbn:de:0030-drops-131182},
  doi =		{10.4230/LIPIcs.DISC.2020.40},
  annote =	{Keywords: distributed algorithms, graph problems, semi-matching}
}

Keywords: distributed algorithms, graph problems, semi-matching
Collection: 34th International Symposium on Distributed Computing (DISC 2020)
Issue Date: 2020
Date of publication: 07.10.2020


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