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Weaker Consistency Models/Eventual Consistency

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Encyclopedia of Big Data Technologies

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Definitions

Weaker consistency and eventual consistency models are classes of consistency in data management systems that trade off consistency for performance.

Overview

Data management systems have employed replication and distribution of data for many objectives, including fault tolerance, load balancing, and read availability, among others (Kemme et al. 2010; Bernstein and Goodman 1981). Having data be distributed or replicated on various nodes raises a problem of how to coordinate access to data across all nodes. Specifically, a client accessing data may affect the state of multiple nodes concurrently. With simultaneous access from different clients, the distributed state of the data may be inconsistent due to overwrites, race conditions, and other concurrency anomalies. Distributed and replicated data management systems are more susceptible to such problems compared to parallel data management systems because the communication delay between nodes is orders of magnitude larger...

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Author information

Authors and Affiliations

  1. University of California, Santa Cruz, CA, USA

    Faisal Nawab

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  1. Faisal Nawab
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Correspondence to Faisal Nawab .

Editor information

Editors and Affiliations

  1. School of Comp. Sci. and Engineering, University of New South Wales School of Comp. Sci. and Engineering, Eveleigh, New South Wales, Australia

    Sherif Sakr

  2. Sch of Info Techno, Building J12, University of Sydney Sch of Info Techno, Building J12, Sydney, Australia

    Albert Zomaya

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  1. No affiliation provided

    Mohammad Sadoghi

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Nawab, F. (2018). Weaker Consistency Models/Eventual Consistency. In: Sakr, S., Zomaya, A. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-63962-8_181-1

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  • DOI: https://doi.org/10.1007/978-3-319-63962-8_181-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63962-8

  • Online ISBN: 978-3-319-63962-8

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