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README.md

Feature-Model-Guided Online Reinforcement Learning for Self-Adaptive Services

by Andreas Metzger, Clément Quinton, Zoltan Adam Mann, Luciano Baresi, and Klaus Pohl

Below we provide the links to the artefacts created as part of the work on our ICSOC 2020 submission.

  • Code realizing the learning strategies and their integration into Q-Learning: see the 'code' directory

  • Feature model of cloud resource management service CloudRM, used as experimental subject: see the 'data' directory

  • Data set including configurations, rewards and QoS for the cloud resource management service CloudRM, used as experimental subject: see the 'data' directory

  • Experimental results, including rewards and QoS over time: see the 'results' directory