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From State to Link-Register Model: A transformer for Self-Stabilizing Distributed Algorithms

  • Johanne Cohen
  • , George Manoussakis
  • , Laurence Pilard

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

Abstract

In the link-register model, there is a delay between the time an action is taken and the time an adjacent node is informed of the resulting modification. This delay provides an opportunity to study the asynchronism induced by communications in distributed systems. Read/write atomicity, the most restrictive model in this category, permits only node-to-node communications. The unfair distributed daemon tops it off by being able to postpone a communication for arbitrarily long (precisely, until the algorithm can take no other move). This paper proposes a transformer to convert a self-stabilizing algorithm from the state to the link-register model. In the worst case, one move of the self-stabilizing algorithm in the state model can generate \Delta rounds in the transformed algorithm in the linkregister model (where \Delta is the maximum degree of the graph). This transformer is based on another transformer that goes from the state model to a slightly modified version of the link-register model, called the strong-link-register model, in which a node can read in its own registers. This transformation comes with a O(\Delta ) factor cost.

Original languageEnglish
Title of host publicationProceedings - 2023 25th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2023
EditorsSorin Stratulat, Mircea Marin, Viorel Negru, Daniela Zaharie
PublisherInstitute of Electrical and Electronics Engineers
Pages114-121
Number of pages8
ISBN (Electronic)9798350394122
DOIs
StatePublished - 1 Jan 2023
Externally publishedYes
Event25th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2023 - Nancy, France
Duration: 11 Sep 202314 Sep 2023

Publication series

NameProceedings - 2023 25th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2023

Conference

Conference25th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2023
Country/TerritoryFrance
CityNancy
Period11/09/2314/09/23

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Software
  • Numerical Analysis
  • Computational Mathematics
  • Health Informatics

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