The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Majority consensus approach to concurrency control for multiple copy databases
Open accessAbstract
A “majority consensus” algorithm which represents a new solution to the update synchronization problem for multiple copy databases is presented. The algorithm embodies distributed control and can function effectively in the presence of communication and database site outages. The correctness of the algorithm is demonstrated and the cost of using it is analyzed. Several examples that illustrate aspects of the algorithm operation are included in the Appendix.
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Cites
Time, clocks, and the ordering of events in a distributed system
Lamport, L. (1978) · Communications of the ACM · doi:10.1145/359545.359563 · Cited by 8,488
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Dynamo: amazon's highly available key-value store
DeCandia, G., Hastorun, D., Jampani, M., Kakulapati, G., Lakshman, A., Pilchin, A., Sivasubramanian, S., Vosshall, P., & Vogels, W. (2007) · ACM SIGOPS Operating Systems Review · doi:10.1145/1323293.1294281 · Cited by 1,151
Elections in a Distributed Computing System
Garcia-Molina (1982) · IEEE Transactions on Computers · doi:10.1109/tc.1982.1675885 · Cited by 620
(2002) · Choice Reviews Online · doi:10.5860/choice.39-2844 · Cited by 613
Don't settle for eventual: scalable causal consistency for wide-area storage with COPS
Lloyd, W., Freedman, M. J., Kaminsky, M., & Andersen, D. G. (2011) · Proceedings of the Twenty-Third ACM Symposium on Operating Systems Principles · doi:10.1145/2043556.2043593 · Cited by 565
Metadata
- Authors
- Thomas, R. H.
- Venue
- ACM Transactions on Database Systems
- Published
- 1979-06
- Volume
- 4
- Issue
- 2
- Pages
- 180-209
- ISSN
- 0362-5915 (ISSN-L)
- 1557-4644
- OpenAlex
- W2110765100
- Cited by
- 1,003
- References
- 1
- FWCI
- 26.50
- 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.
