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Automatic Reactive Adaptation of Pervasive Applications

机译:普及应用自动无功适应

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摘要

Pervasive computing envisions seamless and distraction-free support for everyday tasks through distributed applications that leverage the resources of the users' environment. Due to the mobility of users and devices, applications need to adapt continuously to their changing execution environment. Therefore, developers need a suitable framework in order to efficiently create adaptive applications. In this paper, we present and evaluate our approach to adapting a pervasive computing application to changes during its execution. This work is based on the minimal component system PCOM [2] and on an algorithm to fully automate the initial configuration of a component-based application [11] which we have presented in earlier work. The contribution of this paper is threefold. First, we describe a number of modifications to the component model that are required to enable fully automatic adaptation. Secondly, we propose a simple yet powerful cost model to capture the complexity of specific adaptations. Thirdly, we describe an online optimization heuristic that extends our distributed configuration algorithm in order to choose to a low-cost configuration whenever the current configuration of a pervasive application requires adaptation.
机译:普遍的计算设想通过利用用户环境资源的分布式应用程序对日常任务无缝和分心的支持。由于用户和设备的移动性,应用程序需要连续适应其更改的执行环境。因此,开发人员需要合适的框架,以便有效地创建自适应应用。在本文中,我们展示并评估了我们在执行期间调整普遍计算应用程序的方法。这项工作基于最小的组件系统PCOM [2]以及在算法上完全自动化了我们在早期工作中呈现的组件的应用程序[11]的初始配置。本文的贡献是三倍。首先,我们描述了对启用全自动适配所需的组件模型的许多修改。其次,我们提出了一种简单而强大的成本模型,以捕捉特定适应的复杂性。第三,我们描述了一种在线优化启发式,扩展了我们的分布式配置算法,以便在普及应用程序的当前配置需要适应时选择低成本配置。

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