利用模糊逻辑实现基于Qos参数的web服务动态组合

Namrata Kashyap, Kirti Tyagi
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引用次数: 4

摘要

组合是将代表工作流的许多组成web服务组合在一起的过程,是面向服务体系结构的关键研究问题之一。QOS参数作为web服务组合的杰出基础,是撰写本文的动机。为了满足用户端到端的QOS需求,在众多具有重叠功能的web服务中进行选择是一个决策问题。因此,为了给服务提供商提供一个明智的选择,以选择最好的服务进行组合,本文做出了巨大的贡献,因为它提出了一个成员函数,可以根据响应时间轻松地将具有相似功能的候选web服务优先级提高到更精细的水平,从而被选择用于组合,并最大限度地提高用户满意度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic composition of web services based on Qos parameters using fuzzy logic
Composition, the process of combining many constituent web-services representing a workflow, is one of the crucial research issues of Service Oriented Architecture. QOS parameters being the illustrious basis for the composition of webservices is the motivation for writing this paper. Since the selection of web-services among many of them with the overlapping functionality is a decision problem, to satisfy user's end-to-end QOS requirements. So, to provide a smart choice to service providers to choose the best services for composition, this paper is a stupendous contribution as it comes up with a membership function that easily prioritizes the candidate webservices with the similar functionality to a more finer level on the basis of their response time so as to get selected for the composition as well as maximizing the user's satisfaction.
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