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Fault-tolerant clock synchronization
Abstract
This paper gives two simple efficient distributed algorithms: one for keeping clocks in a network synchronized and one for allowing new processors to join the network with their clocks synchronized. The algorithms tolerate both link and node failures of any type. The algorithm for maintaining synchronization will work for arbitrary networks (rather than just completely connected networks) and tolerates any number of processor or communication link faults as long as the correct processors remain connected by fault-free paths. It thus represents an improvement over other clock synchronization algorithms such as [LM1,LM2,LL1]. Our algorithm for allowing new processors to join requires that more than half the processors be correct, a requirement which is provably necessary.
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Citations
Cited by
Implementing fault-tolerant services using the state machine approach: a tutorial
Schneider, F. B. (1990) · ACM Computing Surveys · doi:10.1145/98163.98167 · Cited by 2,387
ATOMIC BROADCAST: FROM SIMPLE MESSAGE DIFFUSION TO BYZANTINE AGREEMENT
Cristian, F., Aghili, H., Strong, R., & Volev, D. (2005) · Twenty-Fifth International Symposium on Fault-Tolerant Computing, 1995, ' Highlights from Twenty-Five Years'. · doi:10.1109/ftcsh.1995.532668 · Cited by 353
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Metadata
- Authors
- Halpern, J. Y., Simons, B., Strong, R., & Dolev, D.
- Venue
- Proceedings of the third annual ACM symposium on Principles of distributed computing - PODC '84
- Publisher
- ACM Press
- Published
- 1984
- Pages
- 89-102
- OpenAlex
- W2034702409
- Cited by
- 180
- References
- 0
- FWCI
- 16.62
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Fault-tolerant clock synchronization. https://app.cochat.ai/papers/10.1145/800222.806739
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- Halpern, J. Y., Simons, B., Strong, R., & Dolev, D. (1984). Fault-tolerant clock synchronization. Proceedings of the third annual ACM symposium on Principles of distributed computing - PODC '84. https://doi.org/10.1145/800222.806739
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.