基于遗传算法的QoS满意度最优Web服务组合选择模型

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI:10.1109/BESC48373.2019.8962994

Minghua Chen, Qingjun Wang, Wei Sun, Xiaoying Song, Na Chu

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引用次数: 4

摘要

随着Web服务技术在云计算中的应用越来越广泛，Web服务组合选择也成为当前研究的热点之一。现有文献大多将服务组合选择问题描述为考虑多个QoS参数的多目标优化问题，并采用智能优化算法求解。用户的感受通常被忽略。本文引入了QoS满意度的概念，并将其作为Web服务组合选择模型的最优目标。应用遗传算法对该问题进行了求解，实验结果表明本文提出的求解方法是可行和有效的。

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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GA for QoS Satisfaction Degree Optimal Web Service Composition Selection Model

As the Web service technology is using more widely in cloud computing, the Web service composition selection has also become one of the most popular research fields. The service composition selection problem is described as an multi-objective optimization problem considering multi QoS parameters and solved by an intelligent optimization algorithm in most of the existing literatures. Feelings of the users are usually ignored. In this paper, the concept of QoS satisfaction degree is introduced and adopted as the optimal objective of the Web service composition selection model. Genetic algorithm (GA) is applied to solve the problem and test result show that the solution prompted in this paper is feasible and effective.

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2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)

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