WSBen: A Web Services Discovery and Composition Benchmark

Authors:
Seog-Chan Oh;Hyunyoung Kil;Dongwon Lee;Soundar R. T. Kumara
Affiliations:
Penn State University, PA 16802, USA;Penn State University, PA 16802, USA;Penn State University, PA 16802, USA;Penn State University, PA 16802, USA
Venue:
ICWS '06 Proceedings of the IEEE International Conference on Web Services
Year:
2006

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Abstract

A novel benchmark, WSBen, for testing web services discovery and composition is presented. WSBen includes: (1) A collection of synthetic web services (WSDL) files with diverse characteristics and sizes; (2) Test discovery and composition queries and solutions; and (3) External files for statistical analysis and AI planners. Users can fine-tune the generated WSDL files using various parameters such as skewness or matching type. It is our hope that WSBen will provide useful insights for researchers evaluating the performance of web services discovery and composition algorithms and softwares.