基于Storm的云计算在自动清分系统中的实时数据处理应用  

Application of real-time data processing services in automatic clearing collection system based on cloud computing for Storm

作　　者：胡宇舟 范滨 顾学道 缪力 

机构地区：[1]高新现代智能系统股份有限公司产品研发部,广东深圳518057 [2]高新现代智能系统有限股份公司博士后科研工作站,广东深圳518057

出　　处：《计算机应用》2014年第A01期96-99,共4页journal of Computer Applications

摘　　要：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。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.

关 键 词：STORM 云计算 自动清分系统 大数据 轨道交通 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]