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.2019.1
URN: urn:nbn:de:0030-drops-113088
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2019/11308/
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Aspnes, James ; Er, He Yang

Consensus with Max Registers

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LIPIcs-DISC-2019-1.pdf (0.5 MB)

Abstract

We consider the problem of implementing randomized wait-free consensus from max registers under the assumption of an oblivious adversary. We show that max registers solve m-valued consensus for arbitrary m in expected O(log^* n) steps per process, beating the Omega(log m/log log m) lower bound for ordinary registers when m is large and the best previously known O(log log n) upper bound when m is small. A simple max-register implementation based on double-collect snapshots translates this result into an O(n log n) expected step implementation of m-valued consensus from n single-writer registers, improving on the best previously-known bound of O(n log^2 n) for single-writer registers.

BibTeX - Entry

@InProceedings{aspnes_et_al:LIPIcs:2019:11308,
  author =	{James Aspnes and He Yang Er},
  title =	{{Consensus with Max Registers}},
  booktitle =	{33rd International Symposium on Distributed Computing (DISC 2019)},
  pages =	{1:1--1:9},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-126-9},
  ISSN =	{1868-8969},
  year =	{2019},
  volume =	{146},
  editor =	{Jukka Suomela},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2019/11308},
  URN =		{urn:nbn:de:0030-drops-113088},
  doi =		{10.4230/LIPIcs.DISC.2019.1},
  annote =	{Keywords: consensus, max register, single-writer register, oblivious adversary, shared memory}
}

Keywords: consensus, max register, single-writer register, oblivious adversary, shared memory
Collection: 33rd International Symposium on Distributed Computing (DISC 2019)
Issue Date: 2019
Date of publication: 08.10.2019

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