Massive data processing techniques and model in Internet of things

被引：0

作者：

Wang, Yuebin ^{[1
]}

Yan, Quanfeng ^{[1
]}

Liu, Liqiang ^{[1
]}

机构：

[1] Hunan Inst Sci & Technol, Sch Comp Sci, Changsha, Hunan, Peoples R China

来源：

PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND MANAGEMENT INNOVATION | 2015年 / 28卷

关键词：

Massive data; processing techniques; Internet of things;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

with the further development of Internet, rapid scales. Technology the expansion of Internet use is growing due to such rapid growth in this industry, the amount of data dealt by Internet of things becomes the feature of massive amount. The key problems that should be considered with, is how to efficiently processing these data, from which can get useful information, and then to provide intelligent decision. In connection with the new inquiry of massive data processing in the era of Internet of things. To understand the massive data processing technique is used in the Internet of things, through the analysis of massive, heterogeneous, Multi-dimension and dynamic network data. To explore from 4 aspects of the network data acquisition, data transmission, data model and storage, data processing applications, based on the data processing model of Internet of things technology system, construct a general network data storage, analysis and presentation model.

引用

页码：662 / 665

页数：4