Qo S Uncertainty Modeling and Web Services Filtering Based on p-order Combined Cloud Model
Qin L · Journal of Chinese Computer Systems · 2015
The change of network environment and physical location generate the inherent uncertainty of Qo S and cloud model is an effective tool for defining uncertain data. But traditional cloud model can't reflect the high-kurtosis distribution and asymmetry distribution of uncertain Qo S,to solve this problem,p-order combined cloud was put forward to model uncertain Qo S. p-order cloud was proved has the characteristic of high-kurtosis,and kurtosis increases with the increase of p,which can meet the requirements of Qo S distribution,combine cloud can solve the problem of asymmetric distribution of Qo S,and through experiment p-order combined cloud model was proved has more efficient in simulating the distribution of Qo S,finally according to the analysis of experiment,we proposed a web service filtering strategy based on the parameters of p-order combined cloud model.