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When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.OPODIS.2017.19
URN: urn:nbn:de:0030-drops-86482
URL: http://drops.dagstuhl.de/opus/volltexte/2018/8648/
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Yasumi, Hiroto ; Ooshita, Fukuhito ; Yamaguchi, Ken'ichi ; Inoue, Michiko

Constant-Space Population Protocols for Uniform Bipartition

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LIPIcs-OPODIS-2017-19.pdf (0.5 MB)


Abstract

In this paper, we consider a uniform bipartition problem in a population protocol model. The goal of the uniform bipartition problem is to divide a population into two groups of the same size. We study the problem under various assumptions: 1) a population with or without a base station, 2) weak or global fairness, 3) symmetric or asymmetric protocols, and 4) designated or arbitrary initial states. As a result, we completely clarify constant-space solvability of the uniform bipartition problem and, if solvable, propose space-optimal protocols.

BibTeX - Entry

@InProceedings{yasumi_et_al:LIPIcs:2018:8648,
  author =	{Hiroto Yasumi and Fukuhito Ooshita and Ken'ichi Yamaguchi and Michiko Inoue},
  title =	{{Constant-Space Population Protocols for Uniform Bipartition}},
  booktitle =	{21st International Conference on Principles of Distributed Systems (OPODIS 2017)},
  pages =	{19:1--19:17},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-061-3},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{95},
  editor =	{James Aspnes and Alysson Bessani and Pascal Felber and Jo{\~a}o Leit{\~a}o},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/8648},
  URN =		{urn:nbn:de:0030-drops-86482},
  doi =		{10.4230/LIPIcs.OPODIS.2017.19},
  annote =	{Keywords: population protocol, uniform bipartition, distributed protocol}
}

Keywords: population protocol, uniform bipartition, distributed protocol
Seminar: 21st International Conference on Principles of Distributed Systems (OPODIS 2017)
Issue Date: 2018
Date of publication: 16.03.2018


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