Composition of Web Services Using Markov Decision Processes and Dynamic Programming
We propose a Markov decision process model for solving the Web service composition (WSC) problem. Iterative policy evaluation, value iteration, and policy iteration algorithms are used to experimentally validate our approach, with artificial and real data. The experimental results show the reliabili...
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Main Authors: | Víctor Uc-Cetina, Francisco Moo-Mena, Rafael Hernandez-Ucan |
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Format: | Article |
Language: | English |
Published: |
Wiley
2015-01-01
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Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2015/545308 |
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