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• W2579205871 abstract "Eventual consistency is demanded nowadays in highly scalable and available geo-replicated services. According to the CAP theorem, when network partitions may arise a distributed service should choose between being strongly consistent or being highly available. Since scalable services must be available, relaxed consistency is the regular choice. Eventual consistency is not a regular data-centric consistency model, but only a state convergence property to be added to a relaxed consistency model. This paper discusses which data-centric consistency models are not implicitly convergent and, because of this, provide an adequate basis for building eventually consistent services." @default.
• W2579205871 created "2017-01-26" @default.
• W2579205871 creator A5060799382 @default.
• W2579205871 creator A5085194413 @default.
• W2579205871 date "2016-09-01" @default.
• W2579205871 modified "2023-09-26" @default.
• W2579205871 title "Replica Divergence in Data-Centric Consistency Models" @default.
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• W2579205871 doi "https://doi.org/10.1109/dexa.2016.035" @default.
• W2579205871 hasPublicationYear "2016" @default.
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