A Method of Real-time Data Access and Storage in Urban Rail Based on Containers

Abstract

This paper proposed a method of real-time data access and storage in urban rail based on containers. It deploys real-time data access and application services in containers to get operation and management ability from native containers; besides, it builds real-time data computing engines in the container to improve data access performance. In addition, it creates a special data storage structure to enhance query efficiency. API gateway and subscribe channel are dynamically published and updated to increase data query flexibility. Finally, we tested real-time data access and query performance in containers on a containerized platform. The test results show that the method of real-time data access and storage is satisfied with the performance requirements in the urban rail.