Quality driven web services composition
WWW '03 Proceedings of the 12th international conference on World Wide Web
A survey on web services composition
International Journal of Web and Grid Services
Markov-HTN Planning Approach to Enhance Flexibility of Automatic Web Service Composition
ICWS '09 Proceedings of the 2009 IEEE International Conference on Web Services
QoS-aware service composition in dynamic service oriented environments
Middleware'09 Proceedings of the ACM/IFIP/USENIX 10th international conference on Middleware
QoS-Aware Service Composition: A Survey
ECOWS '10 Proceedings of the 2010 Eighth IEEE European Conference on Web Services
On-the-fly adaptation of crisis response information system
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
A Survey on QoS-aware Web Service Composition
MINES '11 Proceedings of the 2011 Third International Conference on Multimedia Information Networking and Security
Workflow pattern analysis in web services orchestration: the BPEL4WS example
HPCC'05 Proceedings of the First international conference on High Performance Computing and Communications
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The missing point so far in the Web service composition is a proper support for composing services without a complete and predefined composition plan. As in some cases such as the crisis management, the composition plan can only be partially defined or cannot be defined in advance. Composing web services with a partial composition plan raises a particular challenge. In this paper, we propose an ad-hoc Web service composition approach, called Service Farming, which aims at constructing an optimal composite service in a reasonable time without a predefined composition plan and satisfying various requirements. Our approach is ad-hoc in the sense that it composes services by simultaneously selecting atomic services and inferring the composition patterns between the selected services so as to ensure services are composed in the best way with regard to QoS aggregation. Experimentations examine the performance of the Service Farming in different cases and show promising results.