标题:GrandLand Traffic Data Processing Platform
作者:Cui, Xingcan; Dong, Zhen; Lin, Liwei; Song, Renyong; Yu, Xiaohui
通讯作者:Cui, XC
作者机构:[Cui, Xingcan; Dong, Zhen; Song, Renyong; Yu, Xiaohui] Shandong Univ, Sch Comp Sci & Technol, Jinan 250101, Shandong, Peoples R China.; [Cui, Xingca 更多
会议名称:3rd IEEE International Congress on Big Data
会议日期:JUN 27-JUL 02, 2014
来源:2014 IEEE INTERNATIONAL CONGRESS ON BIG DATA (BIGDATA CONGRESS)
出版年:2014
页码:766-+
DOI:10.1109/BigData.Congress.2014.113
关键词:traffic data; data processing systems; big data
摘要:Recent years have seen an increasing number of traffic surveillance cameras deployed on the main roads and intersections of metropolitan areas. For large and medium-sized cities, these cameras generate an enormous amount of data. Existing solutions based relational database systems cannot effectively manage and process such large volume of data, nor can they provide support for efficient and scalable support for either analytical tasks or tasks requiring response in real-time. To address these challenges, we have developed the GrandLand Traffic Data Processing Platform (GLPlatform) to provide distributed, scalable processing of traffic surveillance data.
收录类别:CPCI-S
WOS核心被引频次:3
资源类型:会议论文
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