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Causal consistency

Causal consistency is one of the consistency models used in the domain of concurrent programming (e.g. in distributed shared memory, distributed… Expand
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Papers overview

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2018
2018
Causal consistency is an attractive consistency model for replicated data stores. It is provably the strongest model that… Expand
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2017
2017
Causal consistency is one of the most adopted consistency criteria for distributed implementations of data structures. It ensures… Expand
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2017
2017
We describe the design, implementation, and evaluation of Occult (Observable Causal Consistency Using Lossy Timestamps), the… Expand
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2016
2016
In distributed systems where strong consistency is costly when not impossible, causal consistency provides a valuable abstraction… Expand
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Highly Cited
2014
Highly Cited
2014
GentleRain is a new causally consistent geo-replicated data store that provides throughput comparable to eventual consistency and… Expand
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Highly Cited
2013
Highly Cited
2013
We consider the problem of separating consistency-related safety properties from availability and durability in distributed data… Expand
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Highly Cited
2013
Highly Cited
2013
To minimize network latency and remain online during server failures and network partitions, many modern distributed data storage… Expand
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Highly Cited
2013
Highly Cited
2013
We propose two protocols that provide scalable causal consistency for both partitioned and replicated data stores using… Expand
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Highly Cited
2012
Highly Cited
2012
Causal consistency is the strongest consistency model that is available in the presence of partitions and provides useful… Expand
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Highly Cited
2011
Highly Cited
2011
Geo-replicated, distributed data stores that support complex online applications, such as social networks, must provide an… Expand
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