Decision-Support for Selecting Big Data Reference Architectures

被引：6

作者：

Volk, Matthias ^{[1
]}

Bosse, Sascha ^{[1
]}

Bischoff, Dennis ^{[1
]}

Turowski, Klaus ^{[1
]}

机构：

[1] Otto von Guericke Univ, Univ Pl 2, D-39106 Magdeburg, Germany

来源：

BUSINESS INFORMATION SYSTEMS, PT I | 2019年 / 353卷

关键词：

Big data; Reference architectures; Analytic hierarchy processing; Multi criteria decision making; DESIGN SCIENCE;

D O I：

10.1007/978-3-030-20485-3_1

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In recent years, big data systems are getting increasingly complex and require a deep domain specific knowledge. Although a multitude of reference architectures exist, it remains challenging to identify the most suitable approach for a specific use case scenario. To overcome this problem and to provide a decision support, the design science research methodology is used. By an initial literature review process and the application of the software architecture comparison analysis method, currently established big data reference architectures are identified and compared to each other. Finally, an Analytic Hierarchy Process as the main artefact is proposed, demonstrated and evaluated on a real world use-case.

引用

页码：3 / 17

页数：15

共 34 条

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