As a growing number of web services are available on the Web and in organizations, finding and composing the right set of web services becomes ever more important. As a result, in recent years, a plethora of research work and products on web service discovery and composition algorithms have appeared. Despite all these efforts, however, there have been very few test environments available for evaluating such algorithms and software.

To address these needs, we have designed and built WSBen, a web service discovery and composition benchmark. The WSBen has two main characteristics: (1) flexible web services matching framework, and (2) diverse web services network models. Besides the test set generation, WSBen provides a set of functions to simplify the benchmark process such as exporting test sets into AI planner readable files and generating test requests automatically.

WSBen has been developed by Seog-Chan Oh as part of his dissertation work with the supervision of Prof. Dongwon Lee and Prof. Soundar Kumara. For more information, please contact Seog-Chan Oh (sxo160 at psu.edu)

Download:

• User manual
• Implementation

Papers:

• WSBen: A Web Services Discovery and Composition Benchmark, Seog-Chan Oh, Hyunyoung Kil, Dongwon Lee, Soundar Kumara, In IEEE Int'l Conf. on Web Services (ICWS), page 239-246, Chicago, IL, USA, September 2006     Acceptance Rate: 18% (48/261)