Testing a Q-learning approach for derivation of scaling policies in cloud-based applications | IEEE Conference Publication | IEEE Xplore

Testing a Q-learning approach for derivation of scaling policies in cloud-based applications


Abstract:

In this demonstration, we show the applicability of a new management paradigm based on Reinforcement Learning approach for the control of systems' behavior in complex dyn...Show More

Abstract:

In this demonstration, we show the applicability of a new management paradigm based on Reinforcement Learning approach for the control of systems' behavior in complex dynamically evolving environments, without requiring preliminary specifications of the system models. The learning agent identifies the most adequate control policies in live interaction with a partially observed system and provides it with autonomous management capabilities. We present an experimentation with a simulated and a real Cloud-based application, and compare the results with other approaches.
Date of Conference: 19-22 February 2018
Date Added to IEEE Xplore: 02 July 2018
ISBN Information:
Electronic ISSN: 2472-8144
Conference Location: Paris, France

References

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