A fast approach to enable mobile apps with Geo-Location logging and reporting

Yanke Hu, Xiwang Zhang, Liangmin Hu
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引用次数: 1

Abstract

With the rapid evolvement of mobile and cloud technology, the cost of collecting and studying human behavior data is largely reduced. Geo-location data is probably the most important and interesting data that vendors and researchers care about when their designed apps are being used. If an organization maintains several apps, and it wants to monitor the geo-location trend of each app's usage, it will be chaotic and redundant to implement geo-location logging module for every individual app. Instead, it's much cleaner to encapsulate geo-location logging component into SDKs, and centralize the reporting portals into the same cloud service. In this paper, we propose an approach of Modularization SDK Implementation and Cloud reporting architecture, to enable Mobile apps with sensor information logging and reporting by inserting one single line of code. We also use Geo-Location logging as an example and explain how it works on iOS and Android platforms. Our approach can bring several advantages including removing redundant implementation of function modules and bringing more scalability on backend reporting.
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一个快速的方法,使移动应用程序与地理位置日志和报告
随着移动和云技术的快速发展,收集和研究人类行为数据的成本大大降低。当供应商和研究人员设计的应用程序被使用时,地理位置数据可能是最重要和最有趣的数据。如果一个组织维护多个应用程序,并且它想要监控每个应用程序使用的地理位置趋势,那么为每个单独的应用程序实现地理位置日志模块将是混乱和冗余的。相反,将地理位置日志组件封装到sdk中,并将报告门户集中到相同的云服务中会更简洁。在本文中,我们提出了一种模块化SDK实现和云报告架构的方法,通过插入一行代码,使具有传感器信息记录和报告的移动应用程序成为可能。我们还以Geo-Location日志为例,解释它在iOS和Android平台上的工作原理。我们的方法可以带来几个优势,包括消除功能模块的冗余实现,并为后端报告带来更多的可伸缩性。
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