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RBD: A Reference Railway Big Data System Model

  • Weilan Lin
  • Fanhua Xu
  • Meng Ma
  • Ping Wang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11344)

Abstract

The subway line is complex and involves many departments, resulting in unstandardized storage of relevant data in the Metro department. Data systems between different departments cannot cooperate. In this paper, we propose Railway Large Data Platform (RBD) to standardize the large data of rail transit. A large data platform system is designed to store the complex data of rail transit, which can cope with complex scenes. Taking the construction of rail transit platform in Chongqing as an example, we have made a systematic example.

Keywords

Micro-service architecture Root cause Anomaly detection Impact graph Frequent subgraph mining 

Notes

Acknowledgement

This work is supported in part by National Key R&D Program of China No. 2017YFB1200700 and National Natural Science Foundation of China No. 61701007.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.School of Software and MicroelectronicsPeking UniversityBeijingChina
  2. 2.National Engineering Research Center for Software EngineeringPeking UniversityBeijingChina
  3. 3.Key Laboratory of High Confidence Software Technologies (PKU), Ministry of EducationBeijingChina

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