Title :
Stochastic Modeling Study for Competitive Web Services Market
Author :
Cheng, Shuxing ; Chang, Carl K. ; Zhang, Liang-Jie
Author_Institution :
Iowa State Univ., Ames
Abstract :
In our earlier work, competitive Web services market was proposed to address one of the major business concerns, namely "competitiveness", of the current Web services research. This paper aims to attack the issues of how to model and analyze competitive Web services market, which ranges from the service node at the micro level to the competitive composite service providers at the macro level. Moreover, in order to tackle and contain the randomness embedded in a Web services system, we apply the Markov chain theory to analyze the availability of Web services market. Moreover, we analyze the stochastic performance of the Web services market using queuing theory and propose the adaptive control methodology to improve the performance.
Keywords :
Markov processes; Web services; queueing theory; Markov chain; adaptive control; competitive Web services market; queuing theory; stochastic modeling; Application specific processors; Availability; Computer science; Delay; Performance analysis; Queueing analysis; Service oriented architecture; Stochastic processes; Web and internet services; Web services; Markov chain; Web services; Web services market; architecture; queuing theory; service composition; service oriented;
Conference_Titel :
Web Services, 2007. ICWS 2007. IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7695-2924-0
DOI :
10.1109/ICWS.2007.170