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基于服务质量的Web服务选择方法往往假定服务提供者与使用者提供的质量数据均为真实可靠,而这一假设在实际中很难保证.为此,提出一种同时基于服务质量数据真实性与工作流模型的服务选择方法.对服务提供者发布的质量数据,根据服务运行数据的统计结果重新计算其客观质量值;对来自服务使用者的主观评价,通过工作流组织模型计算使用者间的信任度,并结合信任度计算当前用户的服务评价值.通过服务质量模型的建立,结合两种数据选出最优Web服务.实验证明该方法能够有效改善不可靠的质量数据对Web服务选择造成的影响,使服务选择结果更加准确.
Web services selection based on quality of service often assumes that the quality data provided by service providers and users are both true and reliable, and this assumption is difficult to guarantee in practice.Therefore, a method based on the authenticity of service quality data The service selection method of workflow model.On the quality data released by the service providers, the objective quality values are recalculated according to the statistical results of the service operation data; the subjective evaluation from the service users is calculated by the workflow organization model Trust, and combined with the trustworthiness of the current user’s service evaluation value.By establishing the service quality model, combined with the two kinds of data to select the optimal Web service.Experiments show that this method can effectively improve the unreliable quality data on the Web service selection caused The impact of the service selection results more accurate.