Title :
An Evaluation Model for Web Service
Author :
Han, Tao ; Guo, He-qing ; Li, Dong ; Gao, Ying
Author_Institution :
Dept. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou
Abstract :
The evaluation for Web service is essential to select Web services from many candidates, but current evaluation models evaluate Web service only by common service attributes, which can not meet the requirements of end users. We propose an evaluation model for Web service, which customizes reasonable attributes in different domains as evaluation factors, and computes the weights of evaluation factors using machine learning algorithm. The model is implemented in Web service quality evaluation system (WS-QES), which can provide more accurate, reasonable results to end users
Keywords :
Internet; learning (artificial intelligence); Web service quality evaluation system; machine learning algorithm; Availability; Computer science; Context-aware services; Delay; Machine learning algorithms; Web services;
Conference_Titel :
Computer and Computational Sciences, 2006. IMSCCS '06. First International Multi-Symposiums on
Conference_Location :
Hanzhou, Zhejiang
Print_ISBN :
0-7695-2581-4
DOI :
10.1109/IMSCCS.2006.32
