a community-centric model for service publication, discovery, selection, binding, and maintenance
文献类型:会议论文
作者 | Chan W.K. ; Mei Lijun ; Zhang Zhenyu ; Gao Xiaopeng |
出版日期 | 2010 |
会议名称 | 5th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2010 |
会议日期 | 43986 |
会议地点 | Nanjing, China |
关键词 | Ecology Systems engineering Web services |
页码 | 303-310 |
英文摘要 | Services discovery, selection, composition, verification, and adaptation are important in service-oriented computing. Existing researches often study techniques to maximize the benefits of individual services. However, following the power laws, a small fraction of quality services offers their executions to support a significant portion of all service requests. We argue that locating and maintaining such a small and significant set of services is important to the development of service-oriented computing. In this paper, we propose the notion of adaptive service-oriented community. A community consists of peer-reviewed services, and only those operations of member services that the community collectively exceeds a significance threshold are discoverable and bondable. Services also select such communities to bind to its requested operations primarily based on their significance. Our proposal essentially raises a service ecosystem from pursuing the benefits of individual services to that of the community as a whole. Our model also has features to make a namespace or a web service privacy-aware. © 2010 IEEE. |
收录类别 | EI |
会议录 | Proceedings - 5th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2010
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会议录出版地 | United States |
语种 | 英语 |
ISBN号 | 9780770000000 |
源URL | [http://124.16.136.157/handle/311060/8576] ![]() |
专题 | 软件研究所_软件所图书馆_2010软件所会议论文 |
推荐引用方式 GB/T 7714 | Chan W.K.,Mei Lijun,Zhang Zhenyu,et al. a community-centric model for service publication, discovery, selection, binding, and maintenance[C]. 见:5th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2010. Nanjing, China. 43986. |
入库方式: OAI收割
来源:软件研究所
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