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Context attributes: an approach to enable context-awareness for service discovery

机译:上下文属性:一种启用上下文感知以进行服务发现的方法

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The service discovery problem has attracted a lot of attention from researchers and practitioners. Jini, SLP, and UPnP are among the few emerging service discovery protocols. Although they seem to provide a good solution to the problem, there is an unaddressed need of more sophisticated location and context-aware service selection support. In this paper, we introduce the concept of context attribute as an effective, flexible means to exploit relevant context information during the service discovery process. Context attributes can express context information including service-specific selection logic, client, and network condition. We describe our approach and implementation, and present experimental results of our context-aware service discovery implementation.
机译:服务发现问题已引起研究人员和从业人员的广泛关注。 Jini,SLP和UPnP是为数不多的新兴服务发现协议。尽管它们似乎为该问题提供了很好的解决方案,但仍未解决对更复杂的位置和上下文感知服务选择支持的需求。在本文中,我们介绍了上下文属性的概念,它是一种在服务发现过程中利用相关上下文信息的有效,灵活的方法。上下文属性可以表达上下文信息,包括特定于服务的选择逻辑,客户端和网络条件。我们描述了我们的方法和实现,并介绍了上下文感知服务发现实现的实验结果。

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