| Title | ARIMA model-based web services trustworthiness evaluation and prediction |
| Authors | Li, Meng Hua, Zhebang Zhao, Junfeng Zou, Yanzhen Xie, Bing |
| Affiliation | Software Institute, School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China Key Laboratory of High Confidence Software Technologies, Ministry of Education, Beijing 100871, China |
| Issue Date | 2012 |
| Citation | 10th International Conference on Service-Oriented Computing, ICSOC 2012.Shanghai, China,7636 LNCS(648-655). |
| Abstract | As most Web services are delivered by third parties over unreliable Internet and are late bound at run-time, it is reasonable and useful to evaluate and predict the trustworthiness of Web services. In this paper, we propose an ARIMA model-based approach to evaluate and predictWeb services trustworthiness. First, we evaluateWeb services trustworthiness with comprehensive trustworthy evidences collected from the Internet on a regular basis. Then, the cumulative trustworthiness evaluation records are modeled as time series. Finally, we propose an ARIMA model-based multi-step Web services trustworthiness prediction process, which can automatically and iteratively identify and optimize the model to fit the trustworthiness series data. Experiments conducted on a large-scale real-world data set show that our method can effectively evaluate and predict the trustworthiness of Web services, which helps users to reuse Web services. ? Springer-Verlag Berlin Heidelberg 2012. |
| URI | http://hdl.handle.net/20.500.11897/294654 |
| ISSN | 9783642343209 |
| DOI | 10.1007/978-3-642-34321-6-51 |
| Indexed | EI |
| Appears in Collections: | 信息科学技术学院 |
