基于中间件的系统支持在普遍环境中进行主动适应

S. VanSyckel
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引用次数: 2

摘要

普适计算应用程序可以调整其行为,以适应被认为与其情况相关的大量信息,即所谓的上下文。然而,到目前为止,这种上下文感知系统中的适应是被动的,并且仅限于应用程序本身。这些限制不可避免地延迟了对事件的调整。它们会导致频繁的重新配置,并可能导致较差的整体系统配置。在本文中,我们介绍了我们在基于中间件的主动适应系统支持方面正在进行的工作。它通过统一的抽象提供上下文信息、预测和影响、为订阅的上下文或预测提供更新通知,以及用于确定适应备选方案的应用程序模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Middleware-based system support for proactive adaptation in pervasive environments
Pervasive computing applications can adjust their behavior to a multitude of information deemed to be relevant for their situation, their so-called context. Thus far, however, adaptation in such context-aware systems is reactive and limited to the application itself. These restrictions inevitably delay adjustments to events. They cause frequent reconfigurations, and may result in inferior overall system configurations. In this paper, we present our work in progress on middleware-based system support for proactive adaptation. It offers context information, prediction, and influence via a uniform abstraction, update notifications for subscribed context or predictions, and an application model to determine adaptation alternatives.
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