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Weighted voting for replicated data
Open accessAbstract
In a new algorithm for maintaining replicated data, every copy of a replicated file is assigned some number of votes. Every transaction collects a read quorum of rvotes to read a file, and a write quorum of wvotes to write a file, such that r+w is greater than the total number of votes assigned to the file. This ensures that there is a non-null intersection between every read quorum and every write quorum. Version numbers make it possible to determine which copies are current. The reliability and performance characteristics of a replicated file can be controlled by appropriately choosing r, w, and the file's voting configuration. The algorithm guarantees serial consistency, admits temporary copies in a natural way by the introduction of copies with no votes, and has been implemented in the context of an application system called Violet.
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Cited by
Practical byzantine fault tolerance and proactive recovery
Castro, M., & Liskov, B. (2002) · ACM Transactions on Computer Systems · doi:10.1145/571637.571640 · Cited by 2,475
The dangers of replication and a solution
Gray, J., Helland, P., O'Neil, P., & Shasha, D. (1996) · Proceedings of the 1996 ACM SIGMOD international conference on Management of data - SIGMOD '96 · doi:10.1145/233269.233330 · Cited by 1,019
Exploiting virtual synchrony in distributed systems
Birman, K., & Joseph, T. (1987) · ACM SIGOPS Operating Systems Review · doi:10.1145/37499.37515 · Cited by 601
Metadata
- Authors
- Gifford, D. K.
- Venue
- Proceedings of the seventh symposium on Operating systems principles - SOSP '79
- Publisher
- ACM Press
- Published
- 1979
- Pages
- 150-162
- OpenAlex
- W2142849519
- Cited by
- 1,323
- References
- 0
- FWCI
- 7.81
- Type
- conference paper
- Language
- en
- Open access
- bronze
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- Gifford, D. K. (1979). Weighted voting for replicated data. Proceedings of the seventh symposium on Operating systems principles - SOSP '79. https://doi.org/10.1145/800215.806583
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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.