Title :
Research on framework for urban railway massive data based on cloud computing platform
Author_Institution :
Sch. of Automotive & Transp. Eng., Shenzhen Polytech., Shenzhen, China
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.
Keywords :
cloud computing; data handling; parallel programming; rail traffic; traffic engineering computing; HDFS; Hadoop; Hive; MapReduce; cloud computing platform; data computing; data processing framework; data storage; data translation; information platform; urban railway massive data; Cloud computing; Data processing; Educational institutions; Memory; Rail transportation; Servers; Workstations; Cloud computing; Hadoop; Hive; Urban railway;
Conference_Titel :
Information Science and Technology (ICIST), 2014 4th IEEE International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/ICIST.2014.6920376