Analyzing Web Services Networks: a WS-NEXT Application
This work addresses the challenge of managing large-scale Web services systems for developers and researchers, but it appears incremental as it applies existing complex network methods to a specific domain.
The paper tackled the problem of modeling and analyzing complex Web services systems by proposing three network models based on dependency, interaction, and similarity, and used the WS-NEXT extractor to instantiate these models, enabling analysis of topological properties for discovery and composition processes.
Web services represent a system with a huge number of units and many various and complex interactions. Complex networks as a tool for modelling and analyzing natural environments seem to be well adapted to such a complex system. To describe a set of Web services we propose three Web services network models based on the notions of dependency, interaction and similarity. Using the WS-NEXT extractor we instantiate the models with a collection of Web services descriptions. We take advantage of complex network properties to provide an analyzis of the Web services networks. Those networks and the knowledge of their toplogical properties can be exploited for the discovery and composition processes.