微型电脑应用2018，Vol.34Issue(1)：7-11,5.
基于信息融合的多元QoS监控方法
A Multivariate QoS Monitoring Approach Based on Information fusion
摘要
Abstract
QoS (Quality of Service) is an important criterion for the quality of the third party service.Effective monitoring of QoS is the necessary process of Web service.Aiming at the problem that the existing QoS monitoring approaches only consider a single QoS index and can not meet the requirements of the user's satisfaction,a multivariate QoS monitoring approach based on information fusion is proposed.The approach first normalizes the different QoS attribute data,and uses the information fusion to integrate multiple QoS attribute samples into integrated QoS data samples.Then the weighting naive Bayesian classifier is constructed by using PMI (Pointwise Mutual Information) algorithm to calculate the classification tendency of feature factors.The monitoring conclusion is got by calling the classifier and analyzing the classification results.The experimental results on the network open source dataset and the simulated data set show that the approach significantly improves the effects compared with the existing approaches.关键词
信息融合/多元QoS监控/贝叶斯分类器/点互信息Key words
information fusion/multivariate QoS monitoring/bayesian classifier/Pointwise Mutual information分类
信息技术与安全科学引用本文复制引用
江艳,张鹏程,吉顺慧,李臣明..基于信息融合的多元QoS监控方法[J].微型电脑应用,2018,34(1):7-11,5.基金项目
国家科技支撑计划项目(2015BAB07B01) （2015BAB07B01）
中央高校基本科研业务费(B15020191,2015B12714) （B15020191,2015B12714）
