支持nfp的Web服务组合的定量和定性方法

Hongbing Wang, Peisheng Ma, Xuan Zhou
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引用次数: 14

摘要

Web服务组合是从现有服务创建增值服务的标准方法。随着Internet上Web服务的增长,越来越多的服务提供相同的功能,但在非功能属性(NFPs)方面存在差异。然而,大多数用于感知nfp的服务组合的现有技术要么只考虑定量的nfp,要么只考虑定性的nfp。在本文中,我们提出了一个考虑定量和定性非农就业数据的服务组合模型。我们提出了两种进行服务组合的算法。一种是将全局优化与局部选择结合为一种机制。另一种是基于遗传算法的解决方案。我们进行了广泛的实验,以评估我们建议的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Quantitative and Qualitative Approach for NFP-Aware Web Service Composition
Web service composition is a standard approach to create value-added services from existing ones. As the Web services on the Internet grows, there are more and more services providing identical functionalities while differing in their non-functional properties (NFPs). However, most of the existing techniques for NFP-aware service composition consider either only quantitative NFPs or only qualitative NFPs. In this paper, we present a service composition model considering both quantitative and qualitative NFPs. We propose two algorithms for conducting service composition. One combines global optimization with local selection into one mechanism. The other is a genetic algorithm based solution. We have conducted extensive experiments to evaluate the effectiveness of our proposals.
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