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针对开放环境中web服务的动态性和随机性问题,提出支持区间型服务质量(QoS)的web服务选择算法.算法中QoS的不确定性用带概率分布的区间数来描述,通过QoS的抽样数据,可计算出区间上的概率密度.比较各web服务在QoS置信区间上的概率密度,有助于准确描述QoS受环境影响的程度.结合这种比较方式以及组合服务的区间型QoS模型,设计出一种有区间型QoS保障的组合服务算法.仿真实验表明,区间型QoS服务选择有利于减少动态环境对选择排序的影响,提高服务选择的准确性.
Aiming at the dynamic and randomness of web services in open environment, this paper proposes a web service selection algorithm that supports interval-based quality of service (QoS). The uncertainty of QoS in the algorithm is described by the number of intervals with probability distribution. Data to calculate the probability density in the interval.Comparing the probability density of each web service in the QoS confidence interval can help to accurately describe the degree of QoS affected by the environment.Combining with this comparison method and the interval QoS model of the composite service, A combination service algorithm with interval QoS guarantee is designed.The simulation results show that the choice of interval QoS service is helpful to reduce the impact of dynamic environment on selection ranking and improve the accuracy of service selection.