What can be decided locally without identifiers

Pierre Fraigniaud, Mika Göös, Amos Korman, Jukka Suomela

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Do unique node identifiers help in deciding whether a network G has a prescribed property P? We study this question in the context of distributed local decision, where the objective is to decide whether G has property P by having each node run a constant-time distributed decision algorithm. In a yes-instance all nodes should output yes, while in a no-instance at least one node should output no. Recently, Fraigniaud et al. (OPODIS 2012) gave several conditions under which identifiers are not needed, and they conjectured that identifiers are not needed in any decision problem. In the present work, we disprove the conjecture. More than that, we analyse two critical variations of the underlying model of distributed computing: (B): the size of the identifiers is bounded by a function of the size of the input network, (-B): the identifiers are unbounded, (C): the nodes run a computable algorithm, (-C): the nodes can compute any, possibly uncomputable function. While it is easy to see that under (B, C) identifiers are not needed, we show that under all other combinations there are properties that can be decided locally if and only if identifiers are present.

Original languageEnglish
Title of host publicationPODC 2013 - Proceedings of the 2013 ACM Symposium on Principles of Distributed Computing
Pages157-165
Number of pages9
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 ACM Symposium on Principles of Distributed Computing, PODC 2013 - Montreal, QC, Canada
Duration: 22 Jul 201324 Jul 2013

Publication series

NameProceedings of the Annual ACM Symposium on Principles of Distributed Computing

Conference

Conference2013 ACM Symposium on Principles of Distributed Computing, PODC 2013
Country/TerritoryCanada
CityMontreal, QC
Period22/07/1324/07/13

Keywords

  • Computabil-ity theory
  • Distributed complexity
  • Identifiers
  • Local decision

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

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