{"title":"A Web services provisioning optimization model in a Web services community","authors":"Zongwei Luo, Jenny S. Li","doi":"10.1109/ICEBE.2005.19","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a service provisioning optimization model in a Web services community. Requirements of the service provisioning and provisioning capabilities of the Web services community are discussed. The service community supports various types of IT resource management networks, i.e. participant network, service network, and resource network. These networks help to build on demand solutions with service provisioning capabilities in the Web services community. We propose to use the Markov decision process to model the service community participants' behavioral strategies for obtaining optimal service provisioning decisions","PeriodicalId":118472,"journal":{"name":"IEEE International Conference on e-Business Engineering (ICEBE'05)","volume":"06 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on e-Business Engineering (ICEBE'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEBE.2005.19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
In this paper, we propose a service provisioning optimization model in a Web services community. Requirements of the service provisioning and provisioning capabilities of the Web services community are discussed. The service community supports various types of IT resource management networks, i.e. participant network, service network, and resource network. These networks help to build on demand solutions with service provisioning capabilities in the Web services community. We propose to use the Markov decision process to model the service community participants' behavioral strategies for obtaining optimal service provisioning decisions