基于hadoop的交通云数据处理平台设计_生昕格基于hadoop的交通云数据处理平台设计_生昕格.pdf

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基于hadoop的交通云数据处理平台设计_生昕格基于hadoop的交通云数据处理平台设计_生昕格.pdf

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基于hadoop的交通云数据处理平台设计_生昕格基于hadoop的交通云数据处理平台设计_生昕格

2 hadoop 100191 Hadoop MapReduce Hadoop Hbase Design and Development of the Traffic CloudData Processing Platform Based on Hadoop Xinge Sheng Beihang UniversityBeijing 100191 Abstract: People travel more and more conveniently with the rapid growth of urban traffic, but thetraffic becomes increasingly heavy and could not be used efficiently. It has been the goal of Intelligent Transportation that analyzing large-scale traffic data effectively and providing high-quality traffic guidance services for the travelers. This paper introduces the concept of the traffic cloud where the traffic data is stored and computed on distributed computers of a large cluster. With the help of the Map-reduce distributed computing framework of Hadoop, the data is processed in a streaming form, and the data processing platform is packaged as a released service platform, which is inreal time and has high fault-tolerance. Keywords: Hadoop, Hbase, Traffic Cloud, Mass Data Storage, Distributed Computing 1 1.1 1TB Facebook 100 1PB ZB 10 TB 615 1.2 1.3