NIST Big Data Interoperability Framework: Volume 5, Architectures White Paper Survey
NIST Big Data Interoperability Framework: Volume 5, Architectures White Paper Survey
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NIST 大数据互操作性框架：第 5 卷，架构白皮书调查
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
S. Mishra
中科院分区：
文献类型：
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作者：
Wo L. Chang;S. Mishra
大数据是一个用于描述网络，数字化，传感器，信息驱动世界中大量数据的术语。尽管有大数据存在机会，但数据可以压倒传统的技术方法，并且数据的增长超过了数据分析中的科学和技术进步。为了促进大数据的进展，NIST大数据公共工作组（NBD-PWG）正在努力对与大数据相关的重要基本概念达成共识。结果在NIST大数据互操作性框架系列中报告。该卷第5卷介绍了参考体系结构调查的结果。详细描述了综述的参考架构，然后进行参考体系结构比较的摘要。
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor-laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is outpacing scientific and technological advances in data analytics. To advance progress in Big Data, the NIST Big Data Public Working Group (NBD-PWG) is working to develop consensus on important fundamental concepts related to Big Data. The results are reported in the NIST Big Data Interoperability Framework series of volumes. This volume, Volume 5, presents the results of the reference architecture survey. The reviewed reference architectures are described in detail, followed by a summary of the reference architecture comparison.