摘要
针对目前公共安全数据处理任务仍由各平台各自以业务划分方式垂直分配计算资源,导致任务处理效率、资源利用率低下的状况,提出了一种基于云技术的多源数据处理算法,实现了数据管理、地图匹配、速度信息提取等算法,通过测试分析,该算法可以很好地实现数据处理.
The public security data processing tasks Were conducted by the respective business platforms vertically, and this may cause the low processing efficiency and inefficient use of computing resources. This paper proposed a multi-source data processing algorithm based on cloud computing technology, and realizes the data management, map matching, and speed information extraction algorithm. The result of test indicated this algorithm can achieve a good data processing.
出处
《道路交通与安全》
2015年第4期20-24,共5页
Road Traffic & Safety
基金
广东省交通运输厅科技项目(2013-02-095)
关键词
云技术
浮动车
数据
算法
cloud computing technology
floating car
date
algorithm
