CAJ | 학술논문

针对轨道交通行业客流量逐年增大而带来的大数据问题，提出了采用Strom云计算技术解决该问题的方法，并证明了云计算技术完全适用于轨道自动交通售检票( AFC)清分系统( ACC)，探讨了基于Storm云计算在处理清分系统处理实时数据业务中的应用。实践表明，基于Storm的云计算完全适用于轨道交通售检票清分系统的处理实时数据业务，成本低，容错好，运行稳定，效率高，硬件投资仅占单台服务器的十分之一，其扩展性与容错性均优于单台服务器。
침대궤도교통행업객류량축년증대이대래적대수거문제，제출료채용Strom운계산기술해결해문제적방법，병증명료운계산기술완전괄용우궤도자동교통수검표( AFC)청분계통( ACC)，탐토료기우Storm운계산재처리청분계통처리실시수거업무중적응용。실천표명，기우Storm적운계산완전괄용우궤도교통수검표청분계통적처리실시수거업무，성본저，용착호，운행은정，효솔고，경건투자부점단태복무기적십분지일，기확전성여용착성균우우단태복무기。
According to big data problem caused by yearly increased rail transit passenger flow, the paper presented a method adopting Storm cloud computing technology to solve this problem, verified that cloud computing technology is suitable for rail transit Automatic Fare Collection ( AFC) system and Automatic Clearing Collection ( ACC) system, and discussed cloud computing application in processing real-time data of ACC. Practice indicates that cloud computing based on Storm is totally suitable for real-time data processing in rail transit ACC system with lower cost, better fault tolerant capability, stable operation as well as higher efficiency. Its hardware investment covers only a tenth of single server, but its expansibility and fault tolerance are both superior to single server.