To Appear in the Fifth International Symposium on Service-Oriented System Engineering (SOSE 2010), June 4-5, 2010, Nanjing, China A Community-Centric Model for Service Publication, Discovery, Selection, Binding, and Maintenance

Abstract

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 peerreviewed 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. Keywords—service community, significance, adaptation, privacy-awareness

Cite this paper

@inproceedings{Chan2010ToAI, title={To Appear in the Fifth International Symposium on Service-Oriented System Engineering (SOSE 2010), June 4-5, 2010, Nanjing, China A Community-Centric Model for Service Publication, Discovery, Selection, Binding, and Maintenance}, author={Wing Kwong Chan and Lijun Mei and Xiaopeng Gao}, year={2010} }