在Jamdroid架构中加入TelegraphCQ改进实时GPS

M. Qadeer, N. Akhtar, F. Khan, Etienne Baratte
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引用次数: 1

摘要

数据流管理系统是一种新的流处理类,具有类似sql的查询和相对高的数据流健壮性。TelegraphCQ是一个开源的DSMS工具,用于处理实时数据流。另一方面,Jamdroid是一个新的合作项目,在Android平台上开发,收集所有最终用户的道路交通报告,编译数据并报告给用户的导航软件。它包括在用户设备上运行的数据分析算法,以及从用户那里检索数据、合并数据并将其发送回社区的互联网服务器。这样的系统意味着要被大量用户访问,并且必须足够快速响应以处理所有请求;因此,必须制定有效的实时流处理规定。我们将看到这样一个系统如何通过整合数据流管理系统,使用开源的TelegraphCQ来处理和查询数据流,从而获得巨大的收益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving Real-Time GPS by incorporating TelegraphCQ in Jamdroid Architecture
Data Stream Management System is a new class of stream handling with SQL-like queries & robustness at relatively high streams of data. TelegraphCQ is an open source DSMS tool developed towards handling live streams of data. Jamdroid, on the other hand, is a new collaborative project, developed on Android platform, that gathers road traffic reports from all its end-users, compiles the data and reports back to the navigation software of the users. It involves a data analysis algorithm running on the user device, and Internet servers that retrieve the data from the user, merge them, and send them back to the community. Such a system is meant to be accessed by a large number of users, and has to be fast-responsive enough to deal with all the requests; hence, provisions must be made for effective live stream handling. We will see how such a system can gain immensely by incorporating Data Stream Management System, using open-source TelegraphCQ, for data stream processing & querying.
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