Context as autonomic intelligence in a ubiquitous computing environment
Context as autonomic intelligence in a ubiquitous computing environment
复制标题
DOI：
10.1504/ijipt.2007.011595
复制
发表时间：
2007
期刊：
影响因子：
--
通讯作者：
M. Huebscher;J. Mccann;A. Hoskins
中科院分区：
文献类型：
--
作者：
M. Huebscher;J. Mccann;A. Hoskins
本文介绍了ANS架构，使用无处不在的计算，以监测医疗病人在家里。由于没有患者进行这种系统维护的概念，因此它必须是自我管理或自主的。在ANS中，诸如温度、位置等传感器，使用某种形式的逻辑来推导上下文，即，给定设备或其功能的状态/质量。我们的贡献在于架构的紧急可扩展性，这是由其为特定应用程序获取最合适的源代码的能力驱动的。这是通过允许应用程序在数学上定义其自己的关于什么级别的服务提供最佳满意度的概念来实现的，并且基于描述每个备选方案的上下文质量（QoC）属性。ANS框架是轻量级的，可以提供实时适应，这是必要的资源匮乏的无处不在的计算环境，支持医疗应用程序。
This paper presents the ANS architecture that uses ubiquitous computing to monitor medical patients at home. Since there is no notion of the patient carrying out maintenance of such a system, it must be self-managing or autonomic. In the ANS, sensors such as temperature, location, etc., use a form of logic to abduce a context, i.e., the state/quality of a given device or its function. Our contribution lies in the emergent autonomicity of the architecture driven by its ability to derive the most appropriate source for a particular application. This is done by allowing the application to define mathematically its own notion of what level of service provides the best satisfaction and is based on Quality of Context (QoC) attributes that describe each alternative. The ANS framework is lightweight and can provide real-time adaptation, which is necessary in resource-starved ubiquitous computing environments that support medical applications.