Predicting the Quality of Web Services Based on User Stability

Fitriyah Hasny, Samuel Mensah, Deliang Yi, Chune Li, Richong Zhang
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引用次数: 3

Abstract

The development of web services and web APIs offers software developers great opportunities for choosing reliable services. However, the quality of these web services are often not available. Existing quality of web service prediction methods adopts the recommender system related techniques to predict the service quality. In these approaches, the behaviour of service invokers do not change. In reality, the service invokers network conditions are changing all the time. This fact inspires us jointly to consider the stability of service invokers network environment when building a prediction model. In specific, a reliability model is adopted for stability calculation and a recommendation algorithm is proposed in this paper. The advantages of our proposed algorithm is confirmed via experiments on a real-life quality of web service data set and comparison with existing quality of web service predicting algorithms.
基于用户稳定性的Web服务质量预测
web服务和web api的开发为软件开发人员提供了选择可靠服务的绝佳机会。然而,这些web服务的质量通常是不可用的。现有的web服务质量预测方法采用了推荐系统的相关技术来预测服务质量。在这些方法中,服务调用者的行为不会改变。实际上,服务调用者的网络条件一直在变化。这一事实共同激励我们在构建预测模型时考虑服务调用者网络环境的稳定性。具体而言,本文采用可靠性模型进行稳定性计算,并提出了一种推荐算法。通过在实际web服务质量数据集上的实验,以及与现有web服务质量预测算法的比较,验证了本文算法的优势。
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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