Design of large-scale traffic video processing frameworks based on private cloud

doi:10.3778/j.issn.1002-8331.1705-0026

Computer Engineering and Applications ›› 2017, Vol. 53 ›› Issue (21): 254-257.DOI: 10.3778/j.issn.1002-8331.1705-0026

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Design of large-scale traffic video processing frameworks based on private cloud

WANG Chuanlian1, ZHANG Zongshuo2

1.School of Automobile, Chang’an University, Xi’an 710064, China
2.School of Engineering, University of Central Lancashire, Preston, England

Online:2017-11-01 Published:2017-11-15

基于私有云的大规模交通视频处理框架设计

王传连1，张宗朔2

1.长安大学汽车学院，西安 710064
2.中央兰开夏大学工程学院，英国普雷斯顿

Abstract

Abstract: According to the traditional traffic data processing methods have been unable to adapt to the demand of intelligent traffic data processing, combined with cloud computing technology, large-scale traffic video data management and the high performance computing frameworks are designed based on cloud computing. A parallel computing model based on private cloud is proposed, and the simulation experiment verifies the validity of model. The research results can support for the application of intelligent traffic system of video data.

Key words: intelligent traffic, private cloud, parallel computation, distributed

摘要： 为了满足智能交通大数据的处理需求，结合云计算技术，设计了基于云计算的大规模交通视频数据管理与高性能计算框架，提出了基于私有云的并行计算模型，通过仿真模拟实验验证了计算模型的有效性，研究成果能够为交通视频数据的智能应用系统提供技术支撑。

关键词: 智能交通, 私有云, 并行计算, 分布式

WANG Chuanlian1, ZHANG Zongshuo2. Design of large-scale traffic video processing frameworks based on private cloud[J]. Computer Engineering and Applications, 2017, 53(21): 254-257.

王传连1，张宗朔2. 基于私有云的大规模交通视频处理框架设计[J]. 计算机工程与应用, 2017, 53(21): 254-257.

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Design of large-scale traffic video processing frameworks based on private cloud

基于私有云的大规模交通视频处理框架设计

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