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Autonomous Resource Assignment for Optimal Utilization in Optical Data Centre Infrastructures

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Abstract

We present an architectural solution based on data analytics for self-organizing optical data centers. Thanks to a reinforcement learning-based cognitive layer, an adaptive and autonomous resource assignment to deployed services is achieved.

© 2021 The Author(s)

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More Like This
Machine-Learning-Aided Bandwidth and Topology Reconfiguration for Optical Data Center Networks

Roberto Proietti, Che-Yu Liu, Xiaoliang Chen, and S.J.Ben Yoo
W4A.4 Optical Fiber Communication Conference (OFC) 2021

Deep-reinforce-learning-assisted network orchestration for VNF-SC provisioning in inter-DC elastic optical networks

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Zipiao Zhao, Yongli Zhao, Yajie Li, Sabidur Rahman, Dahai Han, and Jie Zhang
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