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The generalized loneliness detector and weak system models for k-set agreement

  • Swiss Federal Institute of Technology Lausanne
    ,
  • Nanyang Technological University
    ,
  • TU Wien
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Abstract

This paper presents two weak partially synchronous system models M anti(n-k) and Msink(n-k) , which are just strong enough for solving k-set agreement: We introduce the generalized (n-k)-loneliness failure detector L}(k), which we first prove to be sufficient for solving k-set agreement, and show that L(k) but not L(k-1) can be implemented in both models. Manti(n-k) and Msink(n-k) are hence the first message passing models that lie between models where Ω (and therefore consensus) can be implemented and the purely asynchronous model. We also address k-set agreement in anonymous systems, that is, in systems where (unique) process identifiers are not available. Since our novel k -set agreement algorithm using L(k) also works in anonymous systems, it turns out that the loneliness failure detector L=L(n-1) introduced by Delporte et al. is also the weakest failure detector for set agreement in anonymous systems. Finally, we analyze the relationship between L(k) and other failure detectors suitable for solving k-set agreement.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Article number

6482555

Pages from-to (Number of pages)

Pages 1078-1088 (11 pages)

Journal (Volume, Issue Number)

IEEE Transactions on Parallel and Distributed Systems (Volume 25, Issue 4)

Publication milestones

  • Published - 04/2014

Publication status

Published - 04/2014

ISSN

1045-9219

Publication IDs

  • Scopus: 84896378260

Publication metrics

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Scopus
citations
Fractional count
1
Fractional count
0.33
Fractional count
2
Fractional count
0.67
Fractional count
1
Fractional count
1

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Citation count
3
Captures
5

Funding Details

FunderFunding number
Nanyang Technological University
M58110000