Affiliation:
1. Beijing Jiaotong University
Abstract
This article introduces content and utilization status of railway data management. In view of the characteristics of diversity, dispersion and mass memory, this paper puts forward an integration analysis method from three dimensions-time dimension, space dimension and category. This paper proposes a framework of data management of high-speed railway equipment, where cloud computing provides a feasible technical solution combined with MapReduce programming model based on Hadoop platform. These models are capable of considering the characteristics of data and processing demand in management of High-speed railway equipment. Finally, we summarize the challenges and opportunities with Big Data for application of China railway and point out there is more than enough that we can work on.
Publisher
Trans Tech Publications, Ltd.
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