Real-time Analysis and Visualization for Big Data of Energy Consumption

被引：0
作者：
Li, Jiaxue [1 ,2 ]
Song, Wei [1 ]
Fong, Simon [2 ]
机构：
[1] North China Univ Technol, Dept Digital Media Technol, Beijing, Peoples R China
[2] Univ Macau, Dept Comp & Informat Sci, Taipa, Macau, Peoples R China
来源：
2017 INTERNATIONAL CONFERENCE ON SOFTWARE AND E-BUSINESS (ICSEB 2017) | 2015年
关键词：
big data; energy consumption; K-Means; DirectX; CUDA;
D O I：
10.1145/3178212.3178229
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposes a research on real-time analysis and visualization for big data of energy consumption. In this research, we access real-time energy consumption data from cloud storage by a Transmission Control Protocol/Internet Protocol (TCP/IP). In order to optimize K-Means clustering algorithm, we implement CUDA C programming to finish data-intensive calculation in the Graphic Processing Unit (GPU), which enhances the efficiency of analysis for big data of energy consumption. Meanwhile, to realize data visualization, we draw the data mining results in a multidimensional plane utilizing DirectX, which is a standard graphics API. We also render the original energy consumption data directly in the form of four-dimensional geometry with the plane together, so as to obtain more useful information intuitively.
引用
收藏
页码：13 / 16
页数：4
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