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Context-Dependent Task Computing in Pervasive Environment

机译:普适环境中的上下文相关任务计算

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Pervasive computing environments need to exhibit highly adaptive behavior to meet the changing personal requirements and operational context of environment. Recently, task computing (TC) paradigm has gained acceptance as the choice computing model for pervasive computing environment. One of the key components of TC is a task model that provides an adequate high-level description of user-oriented tasks. This paper presents a novel context-sensitive task modeling approach capable of supporting complex, user-oriented task definitions, and proposes an algorithm to discover a task and a method to execute it. This work is motivated by the fact that whilst current TC systems allow users to interact with their ambient environments in terms of high level tasks, existing task definitions are still relatively simple, and do not include user-centric and environmental contextual information in the task definition. This paper elaborates the proposed task model through a smart home application example to illustrate steps in context-dependent task modeling, service provisioning and resource organization.
机译:普适计算环境需要表现出高度适应性的行为,以满足不断变化的个人需求和环境的操作环境。近年来,任务计算(TC)范例已成为普及计算环境的选择计算模型。 TC的关键组件之一是任务模型,该模型对面向用户的任务提供了足够的高级描述。本文提出了一种新的上下文敏感任务建模方法,该方法能够支持复杂的,面向用户的任务定义,并提出了一种发现任务的算法和一种执行该任务的方法。这项工作的动机是,尽管当前的TC系统允许用户根据高级任务与其周围环境进行交互,但是现有任务定义仍然相对简单,并且在任务定义中不包括以用户为中心的环境信息。本文通过一个智能家居应用示例详细阐述了所提出的任务模型,以说明上下文相关任务建模,服务提供和资源组织中的步骤。

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