{"title":"基于贝叶斯网络的Web服务QoS度量方法","authors":"Ke Xu","doi":"10.1109/URKE.2012.6319574","DOIUrl":null,"url":null,"abstract":"In the paper, we present Quality of Service (QoS) measure approach in dynamic and open Web service environments. The approach employs Bayesian Networks to estimate the QoS value of each Web service and then calculate the actual QoS value of these services. The experimental results demonstrated the proposed approach is very effective for QoS measure of Web service.","PeriodicalId":277189,"journal":{"name":"2012 2nd International Conference on Uncertainty Reasoning and Knowledge Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Web service QoS measure approach based on Bayesian networks\",\"authors\":\"Ke Xu\",\"doi\":\"10.1109/URKE.2012.6319574\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the paper, we present Quality of Service (QoS) measure approach in dynamic and open Web service environments. The approach employs Bayesian Networks to estimate the QoS value of each Web service and then calculate the actual QoS value of these services. The experimental results demonstrated the proposed approach is very effective for QoS measure of Web service.\",\"PeriodicalId\":277189,\"journal\":{\"name\":\"2012 2nd International Conference on Uncertainty Reasoning and Knowledge Engineering\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 2nd International Conference on Uncertainty Reasoning and Knowledge Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/URKE.2012.6319574\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 2nd International Conference on Uncertainty Reasoning and Knowledge Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/URKE.2012.6319574","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Web service QoS measure approach based on Bayesian networks
In the paper, we present Quality of Service (QoS) measure approach in dynamic and open Web service environments. The approach employs Bayesian Networks to estimate the QoS value of each Web service and then calculate the actual QoS value of these services. The experimental results demonstrated the proposed approach is very effective for QoS measure of Web service.