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Machine Learning Based Traffic Pattern Aware Topology Reconstruction to Optimize Application Performance in Optical DCNs

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Abstract

We proposed a traffic pattern aware topology reconstruction strategy via CNN and spectral clustering to support correlative traffic in parallel computing. Simulation and experiment have verified the efficiency of such strategy by accelerating the computing jobs.

© 2019 The Author(s)

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