朝着广域上下文感知环境发展

Yong Liu, Kay Connelly
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引用次数: 4

摘要

在泛在计算的愿景中,有数十亿个上下文源不断发布其上下文信息,甚至有更多的用户代理搜索和使用这些信息。这些语境生产者和消费者形成了一个大规模的、广域的、语境感知的网络,这个网络是动态的、异构的。现有的服务发现机制不能解决这种环境所带来的独特挑战。在本文中,我们识别了这些挑战,并提出了一种用于上下文感知计算的大规模上下文服务发现基础设施。我们描述了一种用于解决这些挑战的上下文服务发现和描述的方法
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards wide area context-aware environments
In the vision of ubiquitous computing, there are billions of context sources that continuously publish their contextual information, and even more user agents that search for and consume such information. These context producers and consumers form a large-scale, wide-area, context-aware network which is both dynamic and heterogeneous. Existing service discovery mechanisms do not address the unique challenges imposed by such environments. In this paper we identify these challenges and propose a large scale context service discovery infrastructure for context-aware computing. We describe an approach for context service discovery and description that addresses these challenges
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