{"title":"大型商业应用程序的可靠Web服务实现方法","authors":"Jianbin Huang, Heli Sun","doi":"10.1109/ISECS.2008.21","DOIUrl":null,"url":null,"abstract":"Reliability of Web services is an important problem for developing electronic business applications. However, when the number of service requests become very huge it is hard to guarantee the availability of a service. In this paper, a novel approach for reliable Web service provisioning based on mobile agent and resource discovery technologies is proposed. In our approach, new service can be appropriately instantiated on demand, therefore reducing the risk of service being unavailable. Then a dispatching algorithm for resources selection and a multi-phase resource planning algorithm for composite Web services are presented. Experimental results show that our approach is more robust and adaptive in highly dynamic environments.","PeriodicalId":144075,"journal":{"name":"2008 International Symposium on Electronic Commerce and Security","volume":"13 10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A Reliable Web Service Implementation Approach for Large Commercial Applications\",\"authors\":\"Jianbin Huang, Heli Sun\",\"doi\":\"10.1109/ISECS.2008.21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Reliability of Web services is an important problem for developing electronic business applications. However, when the number of service requests become very huge it is hard to guarantee the availability of a service. In this paper, a novel approach for reliable Web service provisioning based on mobile agent and resource discovery technologies is proposed. In our approach, new service can be appropriately instantiated on demand, therefore reducing the risk of service being unavailable. Then a dispatching algorithm for resources selection and a multi-phase resource planning algorithm for composite Web services are presented. Experimental results show that our approach is more robust and adaptive in highly dynamic environments.\",\"PeriodicalId\":144075,\"journal\":{\"name\":\"2008 International Symposium on Electronic Commerce and Security\",\"volume\":\"13 10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-08-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Symposium on Electronic Commerce and Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISECS.2008.21\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Symposium on Electronic Commerce and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISECS.2008.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Reliable Web Service Implementation Approach for Large Commercial Applications
Reliability of Web services is an important problem for developing electronic business applications. However, when the number of service requests become very huge it is hard to guarantee the availability of a service. In this paper, a novel approach for reliable Web service provisioning based on mobile agent and resource discovery technologies is proposed. In our approach, new service can be appropriately instantiated on demand, therefore reducing the risk of service being unavailable. Then a dispatching algorithm for resources selection and a multi-phase resource planning algorithm for composite Web services are presented. Experimental results show that our approach is more robust and adaptive in highly dynamic environments.