A Model of Big Data Architecture on the Base of FIWARE Components

IF 0.3 4区综合性期刊 Q4 MULTIDISCIPLINARY SCIENCES

Comptes Rendus De L Academie Bulgare Des Sciences Pub Date : 2023-10-01 DOI:10.7546/crabs.2023.09.10

Alexander Chikalanov, Leoneed Kirilov, Eugenia Kovatcheva, Roumen Nikolov, Elena Shoikova, Alexander Iliev, Ljubomir Gotsev

引用次数: 0

Abstract

The intensive development of hardware and software tools provides many opportunities for solving various real-world tasks, such as working with large data sets. This, in turn, is a powerful incentive and opportunity for the development of different approaches and tools for solving them. After discussing several well-known BigData architectures a model of a BigData architecture is designed. The architecture is organized in three sections: edge section, processing-and-storage section and application section. The model will be implemented using FIWARE components.

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基于FIWARE构件的大数据架构模型

硬件和软件工具的密集开发为解决各种现实世界的任务提供了许多机会，例如处理大型数据集。这反过来又为开发解决这些问题的不同方法和工具提供了强有力的激励和机会。在讨论了几种知名的大数据架构后，设计了一个大数据架构模型。该体系结构分为三个部分:边缘部分、处理与存储部分和应用部分。该模型将使用FIWARE组件实现。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Comptes Rendus De L Academie Bulgare Des Sciences 综合性期刊-综合性期刊

CiteScore

0.60

自引率

33.30%

发文量

181

审稿时长

3-6 weeks

期刊介绍： Founded in 1948 by academician Georgy Nadjakov, "Comptes rendus de l’Académie bulgare des Sciences" is also known as "Доклади на БАН","Доклады Болгарской академии наук" and "Proceeding of the Bulgarian Academy of Sciences". If applicable, the name of the journal should be abbreviated as follows: C. R. Acad. Bulg. Sci. (according to ISO)