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Adaptive Composition of Distributed Pervasive Applications in Heterogeneous Environments

机译:异构环境中分布式普适应用程序的自适应组合

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Complex pervasive applications need to be distributed for two main reasons: due to the typical resource restrictions of mobile devices, and to use local services to interact with the immediate environment. To set up such an application, the distributed components require spontaneous composition. Since dynamics in the environment and device failures may imply the unavailability of components and devices at any time, finding, maintaining, and adapting such a composition is a nontrivial task. Moreover, the speed of such a configuration process directly influences the user since in the event of a configuration, the user has to wait. In this article, we introduce configuration algorithms for homogeneous and heterogeneous environments. We discuss a comprehensive approach to pervasive application configuration that adapts to the characteristics of the environment: It chooses the most efficient configuration method for the given environment to minimize the configuration latency. Moreover, we propose a new scheme for caching and reusing partial application configurations. This scheme reduces the configuration latency even further such that a configuration can be executed without notable disturbance of the user.
机译:需要分发复杂的无处不在的应用程序有两个主要原因:由于移动设备的典型资源限制,以及使用本地服务与即时环境进行交互。为了建立这样的应用程序,分布式组件需要自发组成。由于环境的动态变化和设备故障可能随时暗示组件和设备不可用,因此,找到,维护和调整此类组成并非易事。此外,这种配置过程的速度直接影响用户,因为在进行配置的情况下,用户必须等待。在本文中,我们介绍了用于同构和异构环境的配置算法。我们讨论一种适用于环境特征的全面应用程序配置的综合方法:它为给定环境选择最有效的配置方法,以最大程度地减少配置延迟。此外,我们提出了一种用于缓存和重用部分应用程序配置的新方案。该方案甚至进一步减少了配置等待时间,从而可以在没有明显干扰用户的情况下执行配置。

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