A Community-Centric Model for Service Publication, Discovery, Selection, Binding, and Maintenance

• Published in: 2010 Fifth IEEE International Symposium on Service Oriented System Engineering pp. 303 - 310
• Main Authors: Chan, W K, Lijun Mei, Zhenyu Zhang, Xiaopeng Gao
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2010
• Subjects: adaptation; Biological system modeling; Communities; Computational modeling; Indexes; privacy-awareness; service community; significance; Software; Syntactics; Web services
• ISBN: 1424473276; 9781424473274
• DOI: 10.1109/SOSE.2010.66

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.