南通大学学报（自然科学版）

为了解决由海量的车辆信息造成的大规模并发数据的传输问题,基于NIO(new input output)框架设计支持高并发数据接收的车辆信息管理平台。该系统利用主从线程、延迟入库与实时显示等技术完成高并发数据的接收与入库。应用分析结果表明,该系统成功通过压力测试,在实际运用中能够支持5 000辆以上的车辆同时在线,成功获取音频、视频等多媒体信息、提供信息管理、统计报表、位置查询、路线优化、安全调控等服务。最后在占用内存和系统吞吐量两方面与传统BIO方法进行对比,结果表明所述NIO方法有较大优势。该系统可为大并发量的车辆管理系统建设提供有力支持。

Inorder to solve the problem of transmitting the massive vehicle information caused by the large-scale and high concurrent data, a vehicle management platform based on the framework of NIO is proposed to support the high-concurrent data. It uses the master-slave threads, the delayed storage and the real-time display technologies to manage the reception and storage of the high-concurrency data. The application an alysis shows that it can successfully pass the pressure test, support the processing of more than 5 000 vehicleson line concurrently, receive the multi-mediain form ation such as audioin form ation and video in formation, and provide the service such as in formation management, statistical report, locationquery, route optimization and security control. In the end, it's proved that the NIO method has more advantages compared with the traditional BIO methods in memory use and system throughput. Therefore, it is concluded that the frame work can support the vehicle management system with large concurrent data.