China Safety Science Journal ›› 2022, Vol. 32 ›› Issue (6): 137-143.doi: 10.16265/j.cnki.issn1003-3033.2022.06.2381

• Public safety • Previous Articles     Next Articles

Research on highly available private cloud platform for urban rail transit based on OpenStack

TANG Tao, TIAN Jinyuan, ZHU Li**(), WANG Xi   

  1. State Key Lab of Rail Traffic Control & Safety, Beijing Jiaotong University, Beijing 100044, China
  • Received:2022-01-07 Revised:2022-04-10 Online:2022-06-28 Published:2022-12-28
  • Contact: ZHU Li

Abstract:

In order to improve resource utilization of urban rail transit system and share resources between different systems, a highly available private cloud platform was built based on OpenStack system. Firstly, OpenStack principle was explained, and possible fault types under cloud failure mode were analyzed to demonstrate the importance of establishing such a platform. Secondly, structure of high-availability cluster was designed in reference to the commonly used frameworks, and a suitable scheme was selected for cluster deployment. Then, multiple indicators of high availability on the test platform were given, and its post-fault reconstruction performance was analyzed. Finally, ATS system was established on the cloud to test ATS operation and high-availability of the platform. The results show that the OpenStack-based private cloud platform designed in this paper can ensure high availability and normal operation of ATS system of rail transit.

Key words: rail transit, OpenStack, high-availability, private cloud platform, automatic train supervision(ATS)