{"title":"过去选择Web服务的相关性能","authors":"W. Sherchan, S. Krishnaswamy, S. Loke","doi":"10.1109/QSIC.2005.52","DOIUrl":null,"url":null,"abstract":"The selection of Web services is typically based on performance (or perception of performance) in past invocations. Instead of using the entire history of invocations in evaluating the performance of services, we use a portion of the history, selected with respect to the current user request. To facilitate this selection, we establish that it is feasible to infer the requirements and preferences of the users from the SLA.","PeriodicalId":150211,"journal":{"name":"Fifth International Conference on Quality Software (QSIC'05)","volume":"62 17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Relevant past performance for selecting Web services\",\"authors\":\"W. Sherchan, S. Krishnaswamy, S. Loke\",\"doi\":\"10.1109/QSIC.2005.52\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The selection of Web services is typically based on performance (or perception of performance) in past invocations. Instead of using the entire history of invocations in evaluating the performance of services, we use a portion of the history, selected with respect to the current user request. To facilitate this selection, we establish that it is feasible to infer the requirements and preferences of the users from the SLA.\",\"PeriodicalId\":150211,\"journal\":{\"name\":\"Fifth International Conference on Quality Software (QSIC'05)\",\"volume\":\"62 17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fifth International Conference on Quality Software (QSIC'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/QSIC.2005.52\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fifth International Conference on Quality Software (QSIC'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/QSIC.2005.52","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Relevant past performance for selecting Web services
The selection of Web services is typically based on performance (or perception of performance) in past invocations. Instead of using the entire history of invocations in evaluating the performance of services, we use a portion of the history, selected with respect to the current user request. To facilitate this selection, we establish that it is feasible to infer the requirements and preferences of the users from the SLA.
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