{"title":"利用Pareto原理提高Qos Web服务选择效率","authors":"Lican Huang, Jianfeng Nie","doi":"10.1109/CCNC.2010.5421583","DOIUrl":null,"url":null,"abstract":"With the rapid increase of Web services, we can have a chance to select the best Qos Web Service among multiple candidate Web Services with the same semantic functions. To obtain the best Qos Web Service, a huge amount of computations on all the candidate Web Services are required to computed. This will lead to less efficiency. To improve selection performance, we use Pareto Principle to calculate only small part of Web Services.","PeriodicalId":172400,"journal":{"name":"2010 7th IEEE Consumer Communications and Networking Conference","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Using Pareto Principle to Improve Efficiency for Selection of Qos Web Services\",\"authors\":\"Lican Huang, Jianfeng Nie\",\"doi\":\"10.1109/CCNC.2010.5421583\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the rapid increase of Web services, we can have a chance to select the best Qos Web Service among multiple candidate Web Services with the same semantic functions. To obtain the best Qos Web Service, a huge amount of computations on all the candidate Web Services are required to computed. This will lead to less efficiency. To improve selection performance, we use Pareto Principle to calculate only small part of Web Services.\",\"PeriodicalId\":172400,\"journal\":{\"name\":\"2010 7th IEEE Consumer Communications and Networking Conference\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-01-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 7th IEEE Consumer Communications and Networking Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCNC.2010.5421583\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 7th IEEE Consumer Communications and Networking Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCNC.2010.5421583","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using Pareto Principle to Improve Efficiency for Selection of Qos Web Services
With the rapid increase of Web services, we can have a chance to select the best Qos Web Service among multiple candidate Web Services with the same semantic functions. To obtain the best Qos Web Service, a huge amount of computations on all the candidate Web Services are required to computed. This will lead to less efficiency. To improve selection performance, we use Pareto Principle to calculate only small part of Web Services.