Replicated data consistency explained through baseball-Reference-Cited by-同舟云学术

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Replicated data consistency explained through baseball

Published:2013-12 Issue:12 Volume:56 Page:82-89
ISSN:0001-0782
Container-title:Communications of the ACM
language:en
Short-container-title:Commun. ACM

Author:

Terry Doug¹

Affiliation:

1. Microsoft Research Silicon Valley Lab, Mountain View. CA

Abstract

A broader class of consistency guarantees can, and perhaps should, be offered to clients that read shared data.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Link

https://dl.acm.org/doi/pdf/10.1145/2500500

Reference13 articles.

1. Consistency Tradeoffs in Modern Distributed Database System Design: CAP is Only Part of the Story

2. Amazon. Amazon DynamoDB; http://aws.amazon.com/dynamodb/. Amazon. Amazon DynamoDB; http://aws.amazon.com/dynamodb/.

3. Probabilistically bounded staleness for practical partial quorums

4. CAP twelve years later: How the "rules" have changed

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2. Antipode: Enforcing Cross-Service Causal Consistency in Distributed Applications;Proceedings of the 29th Symposium on Operating Systems Principles;2023-10-23

3. PolyVerse: An Edge Computing-Empowered Metaverse with Physical-to-Virtual Projection;2023 International Conference on Intelligent Metaverse Technologies & Applications (iMETA);2023-09-18

4. Tunable Causal Consistency: Specification and Implementation;2022 IEEE 28th International Conference on Parallel and Distributed Systems (ICPADS);2023-01

5. Making Cache Monotonic and Consistent;Proceedings of the VLDB Endowment;2022-12

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