A Reference Architecture for Big Data Systems

被引：0
|
作者：
Sang, Go Muan [1 ]
Xu, Lai [1 ]
de Vrieze, Paul [1 ]
机构：
[1] Bournemouth Univ, Fac Sci & Technol, Poole BH12 5BB, Dorset, England
来源：
PROCEEDINGS OF 2016 10TH INTERNATIONAL CONFERENCE ON SOFTWARE, KNOWLEDGE, INFORMATION MANAGEMENT & APPLICATIONS (SKIMA) | 2016年
关键词：
Big Data; Reference Architecture; Data Analytics; TECHNOLOGIES;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Over dozens of years, applying new IT technologies into organizations has always been a big concern for business. Big data certainly is a new concept exciting business. To be able to access more data and empower to analysis big data requires new big data platforms. However, there still remains limited reference architecture for big data systems. In this paper, based on existing reference architecture of big data systems, we propose new high level abstract reference architecture and related reference architecture notations, that better express the overall architecture. The new reference architecture is verified using one existing case and an additional new use case.
引用
收藏
页码：370 / 375
页数：6
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