Signal and information processing in mobile cloud computing: Trends and challenges

Chia-Yu Lin, Li-Chun Wang
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Abstract

Mobile devices become popular with the help of hardware improvements and new functions supported by many sensors. In this paper, we propose a mobile and multi-sensing fusion platform to integrate the unstructured streaming sensing data collecting as well as processing technology and build a QoS performance model to estimate the computing resource of the platform. We also demonstrate three mobile and multi-sensing fusion applications as the examples on the platform. Besides, we discuss the trend and challenges of combining the mobile and multi-sensing fusion technology and signal and information processing in mobile cloud computing in great detail.
移动云计算中的信号和信息处理:趋势和挑战
在硬件改进和许多传感器支持的新功能的帮助下,移动设备变得流行。本文提出了一种移动多传感融合平台,将非结构化流传感数据采集和处理技术集成在一起,并建立了QoS性能模型对平台的计算资源进行估计。我们还在平台上演示了三种移动和多传感融合应用作为示例。并详细讨论了移动与多传感融合技术与移动云计算中信号信息处理相结合的发展趋势和挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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