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作 者:曹鑫亮 孙桂平 孙健 邹晨亮 车明亮 王英利[1] CAO Xinliang;SUN Guiping;SUN Jian;ZOU Chenliang;CHE Mingliang;WANG Yingli(School of Geography Science,Nantong University,Nantong 226007,China;Jiangsu Chengtai Surveying and Mapping Technology Co.Ltd.,Taizhou 225300,China;Jiangsu Taipingyang Communication Technology Co.Ltd.,Nantong 226000,China)
机构地区:[1]南通大学地理科学学院,江苏南通226007 [2]江苏诚泰测绘科技有限公司,江苏泰州225300 [3]江苏太平洋通信科技有限公司,江苏南通226000
出 处:《南通大学学报(自然科学版)》2019年第4期34-38,共5页Journal of Nantong University(Natural Science Edition)
基 金:江苏省测绘地理信息科研项目(JSCHKY201715);南通市科技计划项目(CP12016005);江苏省高等学校大学生创新创业训练计划项目(201810304112X)。
摘 要: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5000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 5000 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.
分 类 号:TP311[自动化与计算机技术—计算机软件与理论]
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