Parallel method for preprocessing high-speed railway noise data based on MapReduce

作     者：Wang, Zhong-Gang Li, Tian-Rui Zhang, Jun-Bo Zhao, Cheng-Bing Gao, Zi-Zhe 

作者机构：School of Information Science and Technology Southwest Jiaotong University Chengdu 610031 China Key Lab. of Cloud Computing and Intelligent Technology Chengdu 610031 Sichuan Province China 

出 版 物：《Tongxin Xuebao/Journal on Communications》 (Tongxin Xuebao)

年 卷 期：2011年第32卷第9 A期

页      面：263-269页

核心收录：

主　　题：MapReduce 

摘      要：With the development of high-speed railway, its security problem gained more and more attention. Noise data collected by sensors reflected the operation condition and was close related to the security of train. The efficiency of processing data became significant due to the volume of data growing at an unprecedented rate. It was a challenge to process massive noise data effectively. A method for preprocessing massive noise data based on MapReduce was proposed by use of the idea of parallel computing. The experiments on Hadoop platform prove that the proposed method can improve the efficiency of preprocessing massive noise data.