A stochastic approach to predict performance of web service composition
In this paper, we propose an analytical approach to predict the performance of web service composition built on BPEL The approach first translates web service composition specification into Stochastic Petri Nets. From the SPN model and its corresponding continuous-time Markov chain, we derive the analytical performance estimates of process-completion-time. In the case study, we also use computer simulation techniques to validate our analytical model. The paper concludes with a comparison with related work.
Yuxiang Dong Yunni Xia Qingsheng Zhu Yu Huang
School of computer science of Chongqing University, Chongqing, China National research center of software engineering of Peking University, Beijing, China
国际会议
Second International Symposium on Electronic Commerce and Security(第二届电子商务与安全国际研究大会)(ISECS 2009)
南昌
英文
1116-1120
2009-05-22（万方平台首次上网日期，不代表论文的发表时间）