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Biely, M., Robinson, P., & Schmid, U. (2014). The Generalized Loneliness Detector and Weak System Models for k-Set Agreement. IEEE Transactions on Parallel and Distributed Systems, 25(4), 1078–1088. https://doi.org/10.1109/tpds.2013.77
E191-02 - Forschungsbereich Embedded Computing Systems
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Journal:
IEEE Transactions on Parallel and Distributed Systems
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ISSN:
1045-9219
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Date (published):
2014
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Number of Pages:
11
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Peer reviewed:
Yes
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Keywords:
Hardware and Architecture; Computational Theory and Mathematics; Signal Processing
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Abstract:
This paper presents two weak partially synchronous system models Mᵃⁿᵗⁱ⁽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...
This paper presents two weak partially synchronous system models Mᵃⁿᵗⁱ⁽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.
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Research Areas:
Computer Engineering and Software-Intensive Systems: 100%