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CAP theorem and Quorum (distributed computing)

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between CAP theorem and Quorum (distributed computing)

CAP theorem vs. Quorum (distributed computing)

In theoretical computer science, the CAP theorem, also named Brewer's theorem after computer scientist Eric Brewer, states that it is impossible for a distributed data store to simultaneously provide more than two out of the following three guarantees:Seth Gilbert and Nancy Lynch,, ACM SIGACT News, Volume 33 Issue 2 (2002), pg. A quorum is the minimum number of votes that a distributed transaction has to obtain in order to be allowed to perform an operation in a distributed system.

Similarities between CAP theorem and Quorum (distributed computing)

CAP theorem and Quorum (distributed computing) have 2 things in common (in Unionpedia): Database transaction, Network partition.

Database transaction

A transaction symbolizes a unit of work performed within a database management system (or similar system) against a database, and treated in a coherent and reliable way independent of other transactions.

CAP theorem and Database transaction · Database transaction and Quorum (distributed computing) · See more »

Network partition

A network partition refers to network decomposition into relatively independent subnets for their separate optimization as well as network split due to the failure of network devices.

CAP theorem and Network partition · Network partition and Quorum (distributed computing) · See more »

The list above answers the following questions

CAP theorem and Quorum (distributed computing) Comparison

CAP theorem has 23 relations, while Quorum (distributed computing) has 9. As they have in common 2, the Jaccard index is 6.25% = 2 / (23 + 9).

References

This article shows the relationship between CAP theorem and Quorum (distributed computing). To access each article from which the information was extracted, please visit:

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