Agreement functions for distributed computing models

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Abstract

The paper proposes a surprisingly simple characterization of a large class of models of distributed computing, via an agreement function: for each set of processes, the function determines the best level of set consensus these processes can reach. We show that the task computability of a large class of fair adversaries that includes, in particular superset-closed and symmetric one, is precisely captured by agreement functions.

Original languageEnglish
Title of host publicationNetworked Systems - 5th International Conference, NETYS 2017, Proceedings
EditorsAmr El Abbadi, Benoit Garbinato
PublisherSpringer Verlag
Pages175-190
Number of pages16
ISBN (Print)9783319596464
DOIs
Publication statusPublished - 1 Jan 2017
Externally publishedYes
Event5th International Conference on Networked Systems, NETYS 2017 - Marrakech, Morocco
Duration: 17 May 201719 May 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10299 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Networked Systems, NETYS 2017
Country/TerritoryMorocco
CityMarrakech
Period17/05/1719/05/17

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