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RLPLA: A Reinforcement Learning Algorithm of Web Service Composition with Preference Consideration

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3 Author(s)

There are many static and dynamic Web services composition strategies, however literatures about automatic composition is very rare. In this article, a new algorithm based on reinforcement learning is proposed to realize web service composition automatically and randomly. On the other hand, the existing composition prototype systems mainly focus on function-oriented composition, but not QoS-oriented composition. After understanding the function-oriented composition by reinforcement learning, this paper then introduces preference logic to seek a QoS optimization solution, which is some kind of qualitative solution. When compared with quantitative solution it has many advantages. The result is a novel algorithm RLPLA, which is an algorithm of Web services composition based on reinforcement learning and preference logic

Published in:

Congress on Services Part II, 2008. SERVICES-2. IEEE

Date of Conference:

23-26 Sept. 2008

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