Title :
A Stochastic Approach to Predict Performance of Web Service Composition
Author :
Dong, Yuxiang ; Xia, Yunni ; Zhu, Qingsheng ; Huang, Yu
Author_Institution :
Sch. of Comput. Sci., Chongqing Univ., Chongqing, China
Abstract :
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.
Keywords :
Markov processes; Petri nets; Web services; specification languages; BPEL; Web service composition; continuous-time Markov chain; process-completion-time; stochastic Petri nets; stochastic approach; Computer science; Computer security; Computer simulation; Electronic commerce; Performance analysis; Petri nets; Phase measurement; Software engineering; Stochastic processes; Web services; Performance; Service composition;
Conference_Titel :
Electronic Commerce and Security, 2009. ISECS '09. Second International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3643-9
DOI :
10.1109/ISECS.2009.35
