Lower bounds for randomized mutual exclusion

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Abstract

We establish, for the first time, lower bounds for randomized mutual-exclusion algorithms (with a read-modify-write operation). Our main result is that a constant size shared-variable cannot guarantee strong fairness, even if randomization is allowed. In fact, we prove a lower bound of fl(log log n) bits on the size of the shared-variable, which is also tight. We investigate weaker fairness conditions and derive tight (upper and lower) bounds for them as well. Surprisingly, it turns out that slightly weakening the fairness condition results in an exponential reduction in the size of the required share-variable. Our lower bounds rely on an analysis of Markov-chains, which might be interesting on its own, and may be useful for other applications.

Original languageEnglish
Title of host publicationProceedings of the 25th Annual ACM Symposium on Theory of Computing, STOC 1993
PublisherAssociation for Computing Machinery
Pages154-163
Number of pages10
ISBN (Electronic)0897915917
DOIs
StatePublished - 1 Jun 1993
Event25th Annual ACM Symposium on Theory of Computing, STOC 1993 - San Diego, United States
Duration: 16 May 199318 May 1993

Publication series

NameProceedings of the Annual ACM Symposium on Theory of Computing
VolumePart F129585
ISSN (Print)0737-8017

Conference

Conference25th Annual ACM Symposium on Theory of Computing, STOC 1993
Country/TerritoryUnited States
CitySan Diego
Period16/05/9318/05/93

Bibliographical note

Publisher Copyright:
© 1993 ACM.

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