面向普适计算的服务组合目标驱动方法

Kangkang Zhang, Qingzhong Li, Qi Sui
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引用次数: 25

摘要

如何协调和组合大量的设备和服务来实现用户的各种任务目标是普适计算的一个重要问题。普适计算环境对用户是透明的。为了简化用户与环境之间的交互,本文提出了一种目标驱动的服务组合方法。我们构建了面向任务的Web服务语义表示模型,并在此模型的基础上动态执行目标驱动的服务组合以实现用户的目标。本文还描述了一个模拟的应用场景,并根据该场景讨论了任务定义和服务组合的过程。该方法简化了用户与普适计算环境之间的交互,提高了普适计算环境中服务协作和组合的灵活性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Goal-driven Approach of Service Composition for Pervasive Computing
It is an important problem for pervasive computing to coordinate and compose large numbers of devices and services to achieve users' various task goals. The pervasive computing environment is transparent for users. In order to simplify the interaction between users and the environment, this paper presents a goal-driven approach of service composition. We build a task-oriented semantic representation model of Web services and based on this model goal-driven service composition is performed dynamically to achieve user's goal. We also describe a simulated application scenario in this paper and discuss the process of task definition and service composition according to the scenario. This approach simplifies the interaction between users and pervasive computing environment and improves the flexibility of service cooperation and composition in the environment
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