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A Design of Processing Platform for Smartphone Based on Big Data

机译:基于大数据的智能手机处理平台设计

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The sensor-rich and Internet-enabled smartphones opens the door for some new mobile App. How to effectively mining potential value of smartphone sensors and build processing big data platform is a hot topic nowadays. In this paper, some common sensors used in smartphones are introduced, and several popular big data processing platform and technology is analyzed and compared. For real-time data and non-real-time data, this paper provides a framework for simultaneously satisfying both batch and real-time processing capabilities for smartphone's big data platform. Then, a general framework of new App and its server application is presented. Finally, the paper sets up a Hadoop simulation environment, measures and computes the average and maximum driving speed according to the data received from smartphone sensors carried in vehicles. Experimental results show that the proposed platform can process the smartphone sensor's big data effectively and accurately.
机译:富有的传感器和支持的互联网的智能手机为一些新的移动应用程序打开了门。如何有效地挖掘智能手机传感器的潜在价值并构建处理大数据平台是如今的热门话题。本文介绍了智能手机中使用的一些常见传感器,分析了几个流行的大数据处理平台和技术。对于实时数据和非实时数据,本文提供了一种框架,可同时满足智能手机的大数据平台的批处理和实时处理功能。然后,展示了新应用程序及其服务器应用程序的一般框架。最后,根据从车辆中携带的智能手机传感器接收的数据,纸张设置了Hadoop仿真环境,测量和计算平均值和最大驾驶速度。实验结果表明,该平台可以有效准确地处理智能手机传感器的大数据。

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