QoS-Aware Service Composition in Mobile Environments

N. Ngoc, Donghui Lin, Takao Nakaguchi, T. Ishida
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引用次数: 6

Abstract

Service composition involves combining many existing services to solve a complex task in the service-oriented environment. Due to the progress in modern smart devices, mobile devices can now act as service providers. The mobility of mobile service providers and the dynamism of the mobile environment are unique features. As a result, there are two issues with service composition in mobile environments: (1) how to use the mobility of devices as an non-functional Quality of Service (QoS) criterion, and (2) how to deal with the dynamism of the mobile environment to realize the optimal service composition. In order to deal with above issues, we proposed a QoS-aware service composition model for service composition in mobile environments considering the feature of mobility in the mobile environment. Moreover, we proposed an adaptive approach called k-neighbor. The main idea of k-neighbor approach is to decompose the composite service into smaller elementary composite services then to set up a solution plan for those elementary composite services based on the available provider set. The evaluation shows that the way of decomposing a composite service adapts to different dynamism of the environment.
移动环境中的qos感知服务组合
服务组合涉及到组合许多现有服务来解决面向服务环境中的复杂任务。由于现代智能设备的进步,移动设备现在可以充当服务提供商。移动服务提供商的移动性和移动环境的动态性是独特的特征。因此,移动环境中的服务组合存在两个问题:(1)如何将设备的移动性作为非功能服务质量(QoS)标准,以及(2)如何处理移动环境的动态性以实现最优的服务组合。为了解决上述问题,考虑到移动环境的移动性特点,提出了一种面向qos的移动环境服务组合模型。此外,我们还提出了一种自适应的k近邻方法。k邻居方法的主要思想是将组合服务分解为较小的基本组合服务,然后根据可用的提供者集为这些基本组合服务建立解决方案计划。评价结果表明,复合服务的分解方法能够适应不同的动态环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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