情境情境感知技术研究

Dian-xi Shi, Zhendong Wu, Bo Ding, H. Yan
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引用次数: 1

摘要

情境情境是将从各种资源中收集到的大量情境整合而成的,是对现实世界状态的快照。如何获取上下文情况并利用该情况提供更好的服务是一个具有挑战性的问题。在本文中,我们在移动云计算架构的基础上重点研究了这一挑战。本文提出了一种抽象模型,用于统一地收集上下文信息并将其发送到云。利用MapReduce计算范式,提出了一种基于规则的大规模上下文聚合算法。最后,提出了基于抽象模型和上下文聚合算法的大规模上下文管理框架,并通过实时流量演示验证了该框架的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research of Context Situation Awareness Technology
Context situation, which means a snapshot of the status of the real world, is formed by integrating a large amount of contexts collected from various resources. How to get the context situation and use the situation to provide better services is a challenging issue. In this paper, we focused on this challenge on the basis of the mobile cloud computing architecture. An abstract model is proposed in this paper to uniformly collect the context and send them to cloud. A rule-based large-scale context aggregation algorithm is also proposed which utilizes the MapReduce computing paradigm. Finally, a large-scale context management framework based on the abstract model and the context aggregation algorithm is proposed, and a real-time traffic demo is implemented to verify the validity of the framework.
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