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WSBen: A Web Services Discovery and Composition Benchmark Toolkit1

WSBen: A Web Services Discovery and Composition Benchmark Toolkit1

Seog-Chan Oh, Dongwon Lee
Copyright: © 2009 |Volume: 6 |Issue: 1 |Pages: 19
ISSN: 1545-7362|EISSN: 1546-5004|ISSN: 1545-7362|EISBN13: 9781615204465|EISSN: 1546-5004|DOI: 10.4018/jwsr.2009092301
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MLA

Oh, Seog-Chan, and Dongwon Lee. "WSBen: A Web Services Discovery and Composition Benchmark Toolkit1." IJWSR vol.6, no.1 2009: pp.1-19. http://doi.org/10.4018/jwsr.2009092301

APA

Oh, S. & Lee, D. (2009). WSBen: A Web Services Discovery and Composition Benchmark Toolkit1. International Journal of Web Services Research (IJWSR), 6(1), 1-19. http://doi.org/10.4018/jwsr.2009092301

Chicago

Oh, Seog-Chan, and Dongwon Lee. "WSBen: A Web Services Discovery and Composition Benchmark Toolkit1," International Journal of Web Services Research (IJWSR) 6, no.1: 1-19. http://doi.org/10.4018/jwsr.2009092301

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Abstract

In this article, a novel benchmark toolkit, WSBen, for testing web services discovery and composition algorithms is presented. The WSBen includes: (1) a collection of synthetically generated web services files in WSDL format with diverse data and model characteristics; (2) queries for testing discovery and composition algorithms; (3) auxiliary files to do statistical analysis on the WSDL test sets; (4) converted WSDL test sets that conventional AI planners can read; and (5) a graphical interface to control all these behaviors. Users can fine-tune the generated WSDL test files by varying underlying network models. To illustrate the application of the WSBen, in addition, we present case studies from three domains: (1) web service composition; (2) AI planning; and (3) the laws of networks in Physics community. It is our hope that WSBen will provide useful insights in evaluating the performance of web services discovery and composition algorithms. The WSBen toolkit is available at: http://pike.psu.edu/sw/wsben/.

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