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A mobile context monitoring platform for pervasive computing environments

机译:适用于普适计算环境的移动上下文监视平台

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In this paper, we present a new mobile platform to support emerging pervasive applications in a Personal Area Network (PAN)-scale dynamic mobile computing environment. The PAN-scale computing environment will constitute an important part of future pervasive-space technology with highly proactive applications, requiring continuous monitoring of users' contexts. The context-aware applications impose heavy workloads on the mobile device and the sensor nodes with highly limited computing and battery power especially for continuous monitoring of user contexts. Our new context monitoring system provides a scalable and energy-efficient monitoring architecture for such applications. It actively interplays between applications and computing resources, coordinating multiple applications to effectively leverage the limited resources and provide quality service to users. Example applications are also developed based on the implemented system design. Experimental results show that the system achieves a superior level of scalability and energy efficiency.
机译:在本文中,我们提出了一个新的移动平台,以支持在个人区域网(PAN)规模的动态移动计算环境中新兴的普遍应用。 PAN规模的计算环境将构成具有高度前瞻性应用程序的未来普适空间技术的重要组成部分,需要不断监控用户的环境。上下文感知应用程序在移动设备和传感器节点上增加了繁重的工作量,并且计算和电池电量非常有限,特别是对于用户上下文的连续监视。我们新的上下文监视系统为此类应用程序提供了可扩展且节能的监视体系结构。它积极地在应用程序和计算资源之间相互作用,协调多个应用程序以有效利用有限的资源并为用户提供优质的服务。还基于已实现的系统设计来开发示例应用程序。实验结果表明,该系统实现了更高的可扩展性和能效水平。

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