基于上下文感知和遗传算法的Web服务组合优化

2013 International Conference on Information Science and Cloud Computing Companion Pub Date : 2013-12-07 DOI:10.1109/ISCC-C.2013.98

Yuan Yuan, Xiuguo Zhang, Wenxi Sun, Zhiying Cao, Hao Wang

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引用次数: 8

摘要

为了提高Web服务组合的成功率和组合服务的质量，提出了一种支持服务关联的Web服务组合方法。首先，建立了上下文感知的web服务组合模型，引入了服务关联矩阵的概念，将服务组件的上下文以矩阵的形式表示出来，并利用上下文感知技术对矩阵进行动态更新。其次，将遗传算法引入到web服务组合中。实验结果表明，本文方法有效地降低了具有显著相关性的复合web服务的上下文属性理论值与实际值之间的偏差。

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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Optimal Web Service Composition Based on Context-Awareness and Genetic Algorithm

This paper presents a Web service composition method which supports the associations of services in order to improve the success rate of Web service composition and the quality of the composite service. Firstly, a context-aware web service composition model is built and this paper introduces the concept of service-correlation matrix which means presenting the context of service components in the form of matrix and dynamically updating the matrix with context-awareness technology. Secondly, this paper introduces genetic algorithm into web service composition. Experimental results indicate that the method in this paper effectively reduces the deviation between the theoretical value and the practical value of the context properties of the composite web services which are significantly associated with others.

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2013 International Conference on Information Science and Cloud Computing Companion

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