{"title":"基于数据分析的Web服务选择和排序中的QoS实现","authors":"Triveni Mishra, G. Raj","doi":"10.1109/CONFLUENCE.2017.7943209","DOIUrl":null,"url":null,"abstract":"Web Services Computing is a growing field with a vast potential for applications of business process management by the implementation of what is known as Service Oriented Architecture (SOA). Business activities can now be independently harvested and grown and later extracted from the “toolkit” of services for composition into large scale applications. This powerful architectural style has translated business logic into useful Web Services or Web APIs across the World Wide Web. This paper delves into the reason for continuously finding and implementing better Quality of Service parameters to define Quality Standards for Web Services. Apart from revisiting research in QoS parameters for Web Services, it is attempted to provide a better understanding of current techniques in Web Service selection, prediction and ranking. A research effort towards a model for Web Service Recommendation is proposed and critically analysed considering the possibility of its implementation in the future.","PeriodicalId":6651,"journal":{"name":"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence","volume":"2 1","pages":"537-542"},"PeriodicalIF":0.0000,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"QoS implementation in Web Services selection and ranking using data analysis\",\"authors\":\"Triveni Mishra, G. Raj\",\"doi\":\"10.1109/CONFLUENCE.2017.7943209\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Web Services Computing is a growing field with a vast potential for applications of business process management by the implementation of what is known as Service Oriented Architecture (SOA). Business activities can now be independently harvested and grown and later extracted from the “toolkit” of services for composition into large scale applications. This powerful architectural style has translated business logic into useful Web Services or Web APIs across the World Wide Web. This paper delves into the reason for continuously finding and implementing better Quality of Service parameters to define Quality Standards for Web Services. Apart from revisiting research in QoS parameters for Web Services, it is attempted to provide a better understanding of current techniques in Web Service selection, prediction and ranking. A research effort towards a model for Web Service Recommendation is proposed and critically analysed considering the possibility of its implementation in the future.\",\"PeriodicalId\":6651,\"journal\":{\"name\":\"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence\",\"volume\":\"2 1\",\"pages\":\"537-542\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CONFLUENCE.2017.7943209\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONFLUENCE.2017.7943209","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
QoS implementation in Web Services selection and ranking using data analysis
Web Services Computing is a growing field with a vast potential for applications of business process management by the implementation of what is known as Service Oriented Architecture (SOA). Business activities can now be independently harvested and grown and later extracted from the “toolkit” of services for composition into large scale applications. This powerful architectural style has translated business logic into useful Web Services or Web APIs across the World Wide Web. This paper delves into the reason for continuously finding and implementing better Quality of Service parameters to define Quality Standards for Web Services. Apart from revisiting research in QoS parameters for Web Services, it is attempted to provide a better understanding of current techniques in Web Service selection, prediction and ranking. A research effort towards a model for Web Service Recommendation is proposed and critically analysed considering the possibility of its implementation in the future.