Research on framework for urban railway massive data based on cloud computing platform

Jianfeng Zhao
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引用次数: 4

Abstract

It's important to effectively storage, computing and translate the massive data (i.e. passenger flow data, equipment monitoring data) into information. This paper proposed a data processing framework based on cloud computing for urban railway. First of all, the existing problem of traditional data processing platform for urban railway was analyzed; Then, the advantages of cloud computing platform was presented, the merits and faults of the current main cloud computing products was compared; Finally, an urban railway data processing framework based on cloud computing was proposed. This framework was based on Hadoop, used the HDFS to storage data, employed the MapReduce to calculate data and invoked the Hive to mine the data. This paper laid a good foundation for introducing cloud computing to urban railway as its information platform.
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基于云计算平台的城市轨道交通海量数据框架研究
如何有效地存储、计算海量数据(如客流数据、设备监控数据)并将其转化为信息至关重要。提出了一种基于云计算的城市轨道交通数据处理框架。首先,分析了传统城市轨道交通数据处理平台存在的问题;然后,介绍了云计算平台的优势,比较了当前主要云计算产品的优缺点;最后,提出了一种基于云计算的城市轨道交通数据处理框架。该框架基于Hadoop,使用HDFS存储数据,使用MapReduce计算数据,调用Hive进行数据挖掘。本文为将云计算引入城市轨道交通作为信息平台奠定了良好的基础。
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