The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Consensus in the presence of partial synchrony
Open accessAbstract
The concept of partial synchrony in a distributed system is introduced. Partial synchrony lies between the cases of a synchronous system and an asynchronous system. In a synchronous system, there is a known fixed upper bound Δ on the time required for a message to be sent from one processor to another and a known fixed upper bound Φ on the relative speeds of different processors. In an asynchronous system no fixed upper bounds Δ and Φ exist. In one version of partial synchrony, fixed bounds Δ and Φ exist, but they are not known a priori. The problem is to design protocols that work correctly in the partially synchronous system regardless of the actual values of the bounds Δ and Φ. In another version of partial synchrony, the bounds are known, but are only guaranteed to hold starting at some unknown time T , and protocols must be designed to work correctly regardless of when time T occurs. Fault-tolerant consensus protocols are given for various cases of partial synchrony and various fault models. Lower bounds that show in most cases that our protocols are optimal with respect to the number of faults tolerated are also given. Our consensus protocols for partially synchronous processors use new protocols for fault-tolerant “distributed clocks” that allow partially synchronous processors to reach some approximately common notion of time.
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Cites
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Self-citationTime, clocks, and the ordering of events in a distributed system
Massachusetts Computer Associates, I., & Lamport, L. (2019) · Concurrency: the Works of Leslie Lamport · doi:10.1145/3335772.3335934 · Cited by 1,979
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Self-citationReaching approximate agreement in the presence of faults
Dolev, D., Lynch, N. A., Pinter, S. S., Stark, E. W., & Weihl, W. E. (1986) · Journal of the ACM · doi:10.1145/5925.5931 · Cited by 525
Self-citationAsynchronous consensus and broadcast protocols
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Cited by
Lamport, L. (1998) · ACM Transactions on Computer Systems · doi:10.1145/279227.279229 · Cited by 2,737
The Quest for Scalable Blockchain Fabric: Proof-of-Work vs. BFT Replication
Vukolić, M. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-39028-4_9 · Cited by 1,051
“The safety properties of consensus, including consensus finality, are maintained despite global communication outages and arbitrarily long asynchrony periods [20].”
Group communication specifications: a comprehensive study
Chockler, G. V., Keidar, I., & Vitenberg, R. (2001) · ACM Computing Surveys · doi:10.1145/503112.503113 · Cited by 630
Total order broadcast and multicast algorithms: Taxonomy and survey
Défago, X., Schiper, A., & Urbán, P. (2004) · ACM Computing Surveys · doi:10.1145/1041680.1041682 · Cited by 543
A Comprehensive Review of Blockchain Consensus Mechanisms
Lashkari, B., & Musilek, P. (2021) · IEEE Access · doi:10.1109/access.2021.3065880 · Cited by 499
Metadata
- Authors
- Dwork, C., Lynch, N., & Stockmeyer, L.
- Venue
- Journal of the ACM
- Published
- 1988-04
- Volume
- 35
- Issue
- 2
- Pages
- 288-323
- ISSN
- 0004-5411 (ISSN-L)
- 1557-735X
- OpenAlex
- W2003214215
- Cited by
- 1,909
- References
- 18
- FWCI
- 17.21
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.