Riverbed Modeler Reinforcement Learning M&S Framework Supported by Supervised Learning

Riverbed Modeler is a useful simulation tool that can simulate a variety of standard network models. However, it does not provide a related tool that does not suit the situation in which research on applying machine learning to the network domain is actively progressing. In this paper, we implemente...

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Bibliographic Details
Published in2021 International Conference on Information Networking (ICOIN) pp. 824 - 827
Main Authors Lee, Gyu-min, Lee, Cheol-woong, Roh, Byeong-hee
Format Conference Proceeding
LanguageEnglish
Published IEEE 13.01.2021
Subjects
learning efficiency
Mathematical model
Matlab
network simulator
Predictive models
Reinforcement learning
riverbed modeler
Supervised learning
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Summary:Riverbed Modeler is a useful simulation tool that can simulate a variety of standard network models. However, it does not provide a related tool that does not suit the situation in which research on applying machine learning to the network domain is actively progressing. In this paper, we implemented a framework to apply reinforcement learning in a riverbed modeler environment. In order to efficiently perform reinforcement learning, we proposed a reinforcement learning structure that supports supervised learning to improve network performance using Riverbed Modeler and MATLAB. The proposed method was evaluated that the learning time was shortened compared to the existing reinforcement learning environment through experiments.
DOI:10.1109/ICOIN50884.2021.9333963