文章基本信息

标题：Development of Reference Architecture Based on Big Data Ecosystem
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作者：Suwook Ha ; Seungyun Lee ; Kangchan Lee 等
期刊名称：Journal of Security Engineering
印刷版ISSN：1738-7531
出版年度：2014
卷号：11
期号：6
页码：511-522
DOI：10.14257/jse.2014.12.02
出版社：SERSC
摘要：According to the requirements of Big Data technologies, as a way to process Big Data, various solutions and open source frameworks have emerged. However, interoperability between these individual platforms have not been considering. This causes SDOs are trying to extend existing standards and find the new items for handling Big Data related with data storing, management, analysis and process. Big Data reference architecture which is being discussed in JTC 1, ITU-T and NIST are described in neutral market participants and their functional requirements. Through this, it can be used as a tool for identifying standardization items by deriving neutral requirements do not depend on a particular platform. In this study, we reviewed the standardization activities for Big Data and analyzed the existing reference architectures from individual companies and agency. And finally, we propose a reference architecture based on Big Dataecosystem perspective. The results of this study can be utilized as a basis for the international standardization of Big Data reference architecture.
关键词：Big data; Reference architecture; Interoperability; Standard