【24h】

On defining and modeling context-awareness

机译:关于定义和建模上下文意识

获取原文
获取原文并翻译 | 示例
           

摘要

Purpose - This paper aims to present a methodology for defining and modeling context-awareness and describing efficiently the interactions between systems, applications and their context. Also, the relation of modern context-aware systems with distributed computation is investigated. Design/methodology/approach - On this purpose, definitions of context and context-awareness are developed based on the theory of computation and especially on a computational model for interactive computation which extends the classical Turing Machine model. The computational model proposed here encloses interaction and networking capabilities for computational machines. Findings - The definition of context presented here develops a mathematical framework for working with context. Also, the modeling approach of distributed computing enables us to build robust, scalable and detailed models for systems and application with context-aware capabilities. Also, it enables us to map the procedures that support context-aware operations providing detailed descriptions about the interactions of applications with their context and other external sources. Practical implications - A case study of a cloud-based context-aware application is examined using the modeling methodology described in the paper so as to demonstrate the practical usage of the theoretical framework that is presented. Originality/value - The originality on the framework presented here relies on the connection of context-awareness with the theory of computation and distributed computing.
机译:目的-本文旨在介绍一种定义和建模上下文感知并有效描述系统,应用程序及其上下文之间的交互的方法。此外,还研究了现代上下文感知系统与分布式计算的关系。设计/方法/方法-为此,根据计算理论,尤其是基于交互式计算的计算模型(扩展了传统的图灵机模型),开发了上下文和上下文意识的定义。本文提出的计算模型包含了计算机的交互和联网功能。结果-这里介绍的上下文定义为使用上下文开发了数学框架。此外,分布式计算的建模方法使我们能够利用上下文感知功能为系统和应用程序构建健壮,可扩展和详细的模型。而且,它使我们能够映射支持上下文感知操作的过程,从而提供有关应用程序与其上下文和其他外部源之间的交互的详细描述。实际意义-使用本文中描述的建模方法对基于云的上下文感知应用程序进行案例研究,以证明所提出的理论框架的实际用法。独创性/价值-此处介绍的框架的独创性依赖于上下文感知与计算理论和分布式计算的联系。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号