Title :
WSBen: A Web Services Discovery and Composition Benchmark
Author :
Oh, Seog-Chan ; Kil, Hyunyoung ; Lee, Dongwon ; Kumara, Soundar R T
Author_Institution :
Dept. of Ind. & Manuf. Eng., Penn State Univ.
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 provides useful insights for researchers evaluating the performance of Web services discovery and composition algorithms and software
Keywords :
Web services; benchmark testing; planning (artificial intelligence); program testing; software performance evaluation; statistical analysis; AI planners; Web service composition benchmark; Web service discovery benchmark; composition queries; statistical analysis; synthetic Web services files; test discovery; Acoustical engineering; Benchmark testing; Computer aided manufacturing; Computer industry; Computer science; Educational institutions; Manufacturing industries; Simple object access protocol; Software testing; Web services;
Conference_Titel :
Web Services, 2006. ICWS '06. International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7695-2669-1
DOI :
10.1109/ICWS.2006.148
