A method of QoS deviation monitoring for web services

Considering the fraudulent behavior of Quality of Service (QoS) for web services, a method to monitor the QoS deviation was proposed in this paper. Firstly, we used random variable to describe the uncertainty of QoS. Secondly, the divergence of QoS in different time periods was tested with Kolmogorov Smirnov (K-S) approach. Finally, we utilized stochastic dominance to judge the better one of them. Theoretical analysis and experimental data showed that the proposed method was reasonable and effective.