NIST Big Data Interoperability Framework: volume 8, reference architecture interfaces
NIST Big Data Interoperability Framework: volume 8, reference architecture interfaces
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NIST 大数据互操作性框架：第 8 卷，参考架构接口
DOI：
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发表时间：
2018
期刊：
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通讯作者：
G. Laszewski
中科院分区：
文献类型：
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作者：
Wo L. Chang;G. Laszewski
本文档总结了与云，容器和高性能计算（HPC）系统相互作用的接口，以管理虚拟群集以支持NIST大数据参考体系结构（NBDRA）。代表状态转移（REST）范式用于定义这些接口，从而可以轻松地集成和通过各种框架采用。大数据是一个用于描述广泛数据集的术语，主要用于体积，品种，速度和/或变异性的特征。尽管存在大数据的机会，但数据特征可能会淹没传统的技术方法，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（NBDIF）系列中报告。该卷第8卷使用NBD-PWG执行的工作来识别NIST大数据参考体系结构（NBDRA）的对象，该对象在NBDIF：第6卷，参考体系结构中介绍。
This document summarizes interfaces that are instrumental for the interaction with Clouds, Containers, and High Performance Computing (HPC) systems to manage virtual clusters to support the NIST Big Data Reference Architecture (NBDRA). The REpresentational State Transfer (REST) paradigm is used to define these interfaces, allowing easy integration and adoption by a wide variety of frameworks. Big Data is a term used to describe extensive datasets, primarily in the characteristics of volume, variety, velocity, and/or variability. While opportunities exist with Big Data, the data characteristics 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 (NBDIF) series of volumes. This volume, Volume 8, uses the work performed by the NBD-PWG to identify objects instrumental for the NIST Big Data Reference Architecture (NBDRA) which is introduced in the NBDIF: Volume 6, Reference Architecture.