Performance Analysis of Software with a Variant NoSQL Data Schemes

D. Ilin, E. Nikulchev
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引用次数: 4

Abstract

The popularity of web applications and platforms for collecting big data has set the goal of efficient data storage. NoSQL databases have become widely used for data storage and scaling. However, there are also a number of problems associated with the choice of efficient data storage and data schemes. The solution of these problems requires an understanding of the runtime conditions and possible loading of the system, which relies primarily on dedicated computing resources. The same data storage schemes can show different efficiency while under different critical load conditions or different computing infrastructures. In this paper, we propose a framework and experiment methodology for two NoSQL storage schemes that allow us to evaluate the most preferred option in the design of the developed application. The paper presents an analysis of the efficiency of two database schemas for maintaining a reliable saving of semi-structured data stream with specified characteristics.
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不同NoSQL数据方案下软件性能分析
收集大数据的web应用和平台的普及为高效的数据存储设定了目标。NoSQL数据库已被广泛用于数据存储和扩展。然而,在选择有效的数据存储和数据方案方面也存在许多问题。这些问题的解决方案需要了解系统的运行时条件和可能的负载,这主要依赖于专用的计算资源。相同的数据存储方案在不同的临界负载条件下或不同的计算基础架构下会表现出不同的效率。在本文中,我们为两种NoSQL存储方案提出了一个框架和实验方法,使我们能够在开发应用程序的设计中评估最优选的选项。本文分析了两种数据库模式在保持具有特定特征的半结构化数据流的可靠保存方面的效率。
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