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Cited by 565

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

Don't settle for eventual: scalable causal consistency for wide-area storage with COPS

Lloyd, Wyatt, Freedman, Michael J., Kaminsky, Michael, Andersen, David G.·2011·Proceedings of the Twenty-Third ACM Symposium on Operating Systems Principles

Abstract

Geo-replicated, distributed data stores that support complex online applications, such as social networks, must provide an "always-on" experience where operations always complete with low latency. Today's systems often sacrifice strong consistency to achieve these goals, exposing inconsistencies to their clients and necessitating complex application logic. In this paper, we identify and define a consistency model---causal consistency with convergent conflict handling, or causal+---that is the strongest achieved under these constraints.

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Metadata

Authors
Lloyd, W., Freedman, M. J., Kaminsky, M., & Andersen, D. G.
Venue
Proceedings of the Twenty-Third ACM Symposium on Operating Systems Principles
Publisher
ACM
Published
2011-10-23
Pages
401-416
OpenAlex
W2161730338
Cited by
565
References
38
FWCI
39.13
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Don't settle for eventual: scalable causal consistency for wide-area storage with COPS. https://app.cochat.ai/papers/10.1145/2043556.2043593
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Lloyd, W., Freedman, M. J., Kaminsky, M., & Andersen, D. G. (2011). Don't settle for eventual: scalable causal consistency for wide-area storage with COPS. Proceedings of the Twenty-Third ACM Symposium on Operating Systems Principles. https://doi.org/10.1145/2043556.2043593

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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.