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2022•Vestnik NSU Series Information TechnologiesOpen access

On Quantitative Metrics for the Consistency and Availability in Distributed Databases

A. I. Zlygostev, B. N. Pishik

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Abstract

This article considers simultaneous attainability of consistency and availability. The approaches to determining the maximum possible levels of accessibility for different consistency models are compared. The necessity of introducing quantitative metrics for these two indicators and review the prior articles with quantitative estimates of consistency is advocated. The importance of this problem is confirmed, and directions for modeling the parameters of the applied problem using numerical experiments are proposed.

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What this paper is about

This article considers simultaneous attainability of consistency and availability. The approaches to determining the maximum possible levels of accessibility for different consistency models are compared. The necessity of introducing quantitative metrics for these two indicators and review the prior articles with quantitative estimates of consistency is advocated. The importance of this problem is confirmed, and directions for modeling the parameters of the applied problem using numerical experiments are proposed.

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Available abstract

This article considers simultaneous attainability of consistency and availability. The approaches to determining the maximum possible levels of accessibility for different consistency models are compared. The necessity of introducing quantitative metrics for these two indicators and review the prior articles with quantitative estimates of consistency is advocated. The importance of this problem is confirmed, and directions for modeling the parameters of the applied problem using numerical experiments are proposed.

Key concepts: Consistency (knowledge bases), Computer science, Data consistency, Consistency model, Weak consistency, Data mining, Quantitative analysis (chemistry), Strong consistency

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