分布式协调服务的室内定位中间件研究

发布时间：2018-01-26 23:33

本文关键词： 分布式中间件室内定位 Hadoop 大数据　出处：《小型微型计算机系统》2017年04期 　论文类型：期刊论文

【摘要】：随着智能手机的普及,室内定位伴随着移动互联网浪潮开始在智能家居、智慧商城和公共安全应急响应等应用场景扮演着日益重要的角色.然而室内定位系统有着数据量大,并发性强,大数据分析等传统的单节点服务器无法支撑的需求,因此本文采用大型分布式架构的思想,提出一种基于组件的分布式室内定位中间件架构.该中间件内部耦合性低,可以根据具体的室内场景大小进行灵活的弹性伸缩,不仅能够支撑大规模、实时性强的数据吞吐,而且提供大数据处理的平台,此外内部还有分布式监控组件以保障中间件安全.实验证明相较于单节点服务器,该中间件的数据读写速率、请求并发性能和大数据任务处理效率都有显著的提升.
[Abstract]:With the popularity of smart phones, indoor positioning with the mobile Internet wave began in the smart home. Smart Mall and public safety emergency response and other application scenarios play an increasingly important role. However, indoor positioning system has a large amount of data, strong concurrency. Big data analysis and other traditional single-node server can not support the requirements, so this paper adopts the idea of large-scale distributed architecture. This paper presents a component-based distributed indoor positioning middleware architecture, which has low internal coupling, and can be flexible and flexible according to the specific indoor scene size, which can not only support large scale. High real-time data throughput, and provide a big data processing platform, in addition to the internal distributed monitoring components to ensure middleware security. Experimental results show that compared with the single-node server. The data reading and writing rate, request concurrency performance and big data task processing efficiency of this middleware are improved significantly.
【作者单位】：中国科学技术大学计算机科学与技术学院;中国科学技术大学苏州研究院;
【基金】：国家自然科学基金联合基金项目(U1301256)资助;国家自然科学基金面上项目(61272133)资助国家发改委物联网专项基金项目(2012-2766)资助
【分类号】：TP212.9;TN929.5
【正文快照】： 2(中国科学技术大学苏州研究院,江苏苏州215123)E-mail:ysc6688@mail.ustc.edu.cn1引言随着移动互联网时代的到来,以智能手机为代表的移动终端设备正在改变着人们的生活方式和工作方式,比如在AdHoc网络环境中基于智能终端的室内定位技术(Indoor Local-ization)[1]日趋成熟.在

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