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A Stream Data Processing Framework for Location-Based Service Using NoSQL Technology

机译:使用NoSQL技术的基于位置的服务流数据处理框架

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One of the most exciting changes in Location-Based Services is the incredible growth of internet, development of wearable devices, and advanced positioning technologies. In addition, the big data from those sources helps performing seamless LBS as a technology. The existing processing methods used to detect the location of a particular tag, or specific device are not enough for complex processing while collecting all of the streaming data at the same time using a variety of wireless communication system [10, 11, 12, 13]. We can use big data processing method for processing all the streaming data in real time. In this paper, we propose a framework for improving performance of Seamless LBS using NoSQL technology.
机译:基于位置的服务中最激动人心的变化之一是互联网的令人难以置信的增长,可穿戴设备的开发和先进的定位技术。此外,来自这些来源的大数据有助于执行无缝LBS作为技术。用于检测特定标签的位置或特定设备的现有处理方法,或者在使用各种无线通信系统的同时收集所有流数据的同时收集所有流数据[10,11,12,13]。 。我们可以使用大数据处理方法实时处理所有流数据。在本文中,我们建议使用NoSQL技术提高无缝LBS性能的框架。

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