IEEE Computer Society
6th IEEE International Conference on Service Oriented Computing and Applications (SOCA 2013)
Speech with CD or web proceedings
Information and Communication Technology
Service Composition is an essential part of Service<br> Oriented Architectures (SOA). The number of available alternatives<br> for web services offering similar functional characteristics<br> opens opportunities to maximise compositions based on criteria<br> embedded into the Quality of Service (QoS). These non-functional<br> criteria may be numerous and diverse, and arise from various<br> constraints, making composition an optimal information fusion<br> problem. A number of solutions have been offered to resolve the<br> selection problem for web service composition, essentially relying<br> on exploiting and combining absolute performance values for<br> measuring multi-dimensional QoS.<br> In this paper, we investigate the use of Rank Aggregation<br> methods for performing adequate information fusion for web<br> service selection in view of composition. Our goal is to take<br> advantage of these methods working on ranks rather than on the<br> direct values for inferring global QoS. We formalise our approach<br> and demonstrate its validity via an empirical study. We further<br> evaluate our approach on publicly available real data gathered<br> from actual web service characteristics.