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On failure detectors and type boosters: (Extended abstract)

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Résumé

The power of a set S of object types can be measured as the maximum number n of processes that can solve consensus using only types in S and registers. This number, denoted by hmr(S), is called the consensus power of S. The use of failure detectors can however "boost" the consensus power of types. This paper addresses the weakest failure detector type booster question, which consists in determining the weakest failure detector D such that, for any set S of types with hmr(S) = n, hmr(S;D) = n + 1. We consider the failure detector Ωn (introduced in [18]) which outputs, at each process, a set of at most n processes so that, eventually, all correct processes detect the same set that includes at least one correct process. We prove that Ωn is the weakest failure detector type booster for deterministic one-shot types. As an interesting corollary of our result, we show that Ωt is the weakest failure detector to boost the resilience level of (t - 1)-resilient objects solving consensus.

langue originaleAnglais
titreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
rédacteurs en chefFaith Ellen Fich
EditeurSpringer Verlag
Pages292-305
Nombre de pages14
ISBN (imprimé)354020184X, 9783540201847
Les DOIs
étatPublié - 1 janv. 2003
Modification externeOui

Série de publications

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2848
ISSN (imprimé)0302-9743
ISSN (Electronique)1611-3349

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