Architectural Design Of Data Stream-Based Big Data Real-Time Analysis System

被引：0

作者：

Liu, Qiang ^{[1
]}

Lv, Junmin ^{[1
]}

Yuan, Xun ^{[1
]}

Luo, Renyi ^{[1
]}

Lv, Dekui ^{[2
]}

机构：

[1] SWUFE, Tianfu Coll, Chengdu 610000, Sichuan, Peoples R China

[2] China Elect Technol Grp Corp, Res Inst 28, Nanjing 210000, Jiangsu, Peoples R China

来源：

PROCEEDINGS OF THE 2017 2ND JOINT INTERNATIONAL INFORMATION TECHNOLOGY, MECHANICAL AND ELECTRONIC ENGINEERING CONFERENCE (JIMEC 2017) | 2017年 / 62卷

关键词：

Data stream; Big data; Real-time computing (RT computing); Architectural design;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Conducting the RT analysis of large-scale data stream severely challenges the IT hardware facilities and system Architecture. To cope with the needs of large-scale RT analysis, the article analyzes and compares the mainstream open-source technology and then designs the system architecture that consists of data collection, data distribution, real-time computing, persistent storage, resource allocation and scheduling.

引用

页码：153 / 156

页数：4