Adaptive Service Composition Based on Reinforcement Learning

  title={Adaptive Service Composition Based on Reinforcement Learning},
  author={Hongbing Wang and Xuan Zhou and Xiang Zhou and Weihong Liu and Wenya Li and Athman Bouguettaya},
The services on the Internet are evolving. The various properties of the services, such as their prices and performance, keep changing. To ensure user satisfaction in the long run, it is desirable that a service composition can automatically adapt to these changes. To this end, we propose a mechanism for adaptive service composition. The mechanism requires no prior knowledge about services’ quality, while being able to achieve the optimal composition solution by leveraging the technology of… CONTINUE READING
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