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Learning-based web service composition in uncertain environments
Yu L.1; Wang Z.2; Meng L.2; Qiu X.2; Zhou J.1
2014
Source PublicationJournal of Web Engineering
ISSN15409589
Volume13Issue:5-6Pages:450-468
AbstractWeb service composition has two kinds of uncertain factors, including uncertain invocation results and uncertain quality of services. These uncertain factors affect success rate of service composition. The web service composition problem should be considered as an uncertain planning problem. This paper used Partially Observable Markov Decision Process to deal with the uncertain planning problem for service composition. According to the uncertain model, we propose a fast learning method, which is an uncertainty planning method, to compose web services. The method views invocations of web service as uncertain actions, and views service quality as partially observable variables. The method does not need to know complete information, instead uses an estimated value function to approach a real function and to obtain a composite service. Simulation experiments verify the validity of the algorithm, and the results also show that our method improves the success rate of the service composition and reduces computing time.
KeywordOptimal policy Partially observable markov decision process Reinforcement learning algorithm Success rate of service composition Web service composition
URLView the original
Language英語English
Fulltext Access
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.Inner Mongolia University China
2.Beijing University of Posts and Telecommunications
Recommended Citation
GB/T 7714
Yu L.,Wang Z.,Meng L.,et al. Learning-based web service composition in uncertain environments[J]. Journal of Web Engineering, 2014, 13(5-6), 450-468.
APA Yu L.., Wang Z.., Meng L.., Qiu X.., & Zhou J. (2014). Learning-based web service composition in uncertain environments. Journal of Web Engineering, 13(5-6), 450-468.
MLA Yu L.,et al."Learning-based web service composition in uncertain environments".Journal of Web Engineering 13.5-6(2014):450-468.
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