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A new fault-tolerant algorithm for clock synchronization

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Lundelius, Jennifer, Lynch, Nancy·1984·Proceedings of the third annual ACM symposium on Principles of distributed computing - PODC '84

Abstract

We describe a new fault-tolerant algorithm for solving a variant of Lamport's clock synchronization problem. The algorithm is designed for a system of distributed processes that communicate by sending messages. Each process has its own read-only physical clock whose drift rate from real time is very small. By adding a value to its physical clock time, the process obtains its local time. The algorithm solves the problem of maintaining closely synchronized local times, assuming that processes' local times are closely synchronized initially. The algorithm is able to tolerate the failure of just under a third of the participating processes. It maintains synchronization to within a small constant, whose magnitude depends upon the rate of clock drift, the message delivery time, and the inital closeness of synchronization. We also give a characterization of how far the clocks drift from real time. Reintegration of a repaired process can be accomplished using a slight modification of the basic algorithm. A similar style algorithm can also be used to achieve synchronization initially.

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Metadata

Authors
Lundelius, J., & Lynch, N.
Venue
Proceedings of the third annual ACM symposium on Principles of distributed computing - PODC '84
Publisher
ACM Press
Published
1984
Pages
75-88
OpenAlex
W2078209861
Cited by
160
References
0
FWCI
14.70
Type
conference paper
Language
en
Open access
bronze

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CoChat. (2026). Citation check: A new fault-tolerant algorithm for clock synchronization. https://app.cochat.ai/papers/10.1145/800222.806738
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Lundelius, J., & Lynch, N. (1984). A new fault-tolerant algorithm for clock synchronization. Proceedings of the third annual ACM symposium on Principles of distributed computing - PODC '84. https://doi.org/10.1145/800222.806738

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.