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Kalimucho: Adaptation Platform for Mobile Applications

机译:Kalimucho:移动应用程序适应平台

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摘要

Recently, the increasing use of mobile technologies leads to face to new challenges in order to satisfy people using mobile devices. As they use their favorite applications on their personal computer at home, people wants to use it on their smartphone or tablet and wants applications to be improved according to GPS position, weather or any contextual information. However, addressing such context-aware systems deals with three main characteristics: context changes, mobility and limited resources of such devices. In this article we try to address such requirements using QoS-driven dynamic adaptations of application deployment. We are particularly interested in distributed applications QoS management facing with hardware limitations and mobility of devices, user requirements and usage constraints. We propose a service-based reconfiguration platform named Kalimucho. It implements a contextual-deployment heuristic to find a configuration matching context and QoS requirements. Kalimucho was tested with the Osagaia/Korrontea component model and several devices; the results confirm that Kalimucho provides a satisfying execution time to adapt applications.
机译:最近,越来越多的移动技术利用导致新的挑战,以满足使用移动设备的人们。随着他们在家里的个人计算机上使用他们最喜欢的应用程序,人们希望在他们的智能手机或平板电脑上使用它,并根据GPS位置,天气或任何上下文信息来改善应用程序。但是,解决此类上下文感知系统处理三个主要特征:这些设备的上下文变化,移动性和有限的资源。在本文中,我们尝试使用QoS驱动的动态适应应用程序部署来解决此类要求。我们对分布式应用QoS管理尤其感兴趣,面向硬件限制和设备的移动性,用户要求和使用约束。我们提出了一个名为Kalimucho的基于服务的重新配置平台。它实现了一个上下文部署启发式,以查找配置匹配上下文和QoS要求。 Kalimucho用奥巨大/ korrontea组件模型和几种器件进行了测试;结果证实,Kalimucho提供了适应应用程序的令人满意的执行时间。

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